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IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 3, Ver. I (May - Jun.2015), PP 08-13
www.iosrjournals.org
DOI: 10.9790/2834-10310813 www.iosrjournals.org 8 | Page
A New Class of Ternary Zero Correlation Zone Sequence Sets
Based on Mutually Orthogonal Complementary Sets
B. Fassi, H. Mimoun, R. Messaoudi, M. Addad
Telecommunications and Digital Signal Processing Laboratory, Djillali Liabes University of Sidi Bel Abbes,
Algeria
Abstract: This paper proposes a new class of ternary zero correlation zone (ZCZ) sequence sets based on
mutually orthogonal complementary sets (MOCS), in which the periodic cross-correlation function and the out-
of-phase of the periodic auto-correlation function of the proposed sequence set are zero in a specified zone of
phase shift. It is shown that the proposed zero correlation zone sequence set can achieve the upper bound on the
ternary ZCZ codes.
Keywords - Sequence design, mutually orthogonal complementary sets, theoretical upper bound, zero
correlation zone (ZCZ) sequences.
I. Introduction
Different types of sequence set used in communications systems have been studied in order to reduce
the Multiple Access Interference (MAI) [1-6].
Zero correlation zone (ZCZ) sequences, which have vigorously been studied now, are defined to be a
sequence set with ZCZ which means the duration with zero auto-correlation function and zero cross-correlation
function at out-of-phase state [1-12]. When ZCZ sequences are used as spreading sequences in DS-CDMA, it
can effectively eliminate MAI if all multiple access delays are inside ZCZ [1-6]. There are various intensive
studies on the constructing of ZCZ sequences including binary, ternary and polyphase sequences [1-12].
Generally, sets of ZCZ sequences are characterized by the period of sequences N, the family size,
namely the number of sequences M, and the length of the zero-correlation zone ZCZ [7]. A ZCZ (N, M, ZCZ)
sequence set that satisfies the theoretical bound defined by the ratio M Zcz + 1 /N = 1 is called an optimal
zero-correlation zone sequence set [7, 10].
In this paper, we propose a new construction method to obtain ternary ZCZ sequence sets based on
binary mutually orthogonal complementary set (MOCS) and from padding zero between sequences of MOCS.
Our proposed ternary zero-correlation zone sequence set is almost optimal ZCZ sequence set.
The paper is organized as follows. Section 2 introduces the notations required for the subsequent
sections, the proposed scheme for sequence construction is explained in section 3. Examples of new ZCZ
sequence sets are presented in Section 4. The properties of the proposed sequence sets are shown in Section 5.
Finally, we draw the concluding remarks.
II. Notations
2.1 Definition 1: Suppose Xj=(xj,0, xj,1, โ€ฆ โ€ฆ . xj,Nโˆ’1) and, Xv =(xv,0, xv,1, โ€ฆ โ€ฆ . xv,Nโˆ’1) are two sequences of period
N. Sequence pair (Xj, Xv) is called a binary sequence pair if
xj,i, xv,i โˆˆ โˆ’1, +1 , i = 0,1,2, โ€ฆ โ€ฆ โ€ฆ N โˆ’ 1 [2].
The Periodic Correlation Function (PCF) between Xj and Xv at a shift ฯ„ is defined by [8]:
โˆ€ฯ„ โ‰ฅ 0, ฮธ Xj ,Xv
ฯ„ = xj,ixv, i+ฯ„ mod (N)
Nโˆ’1
i=0 and ฮธ Xv ,Xj
โˆ’ฯ„ = ฮธ Xj ,Xv
ฯ„ (1)
2.2 Definition 2: A set of M sequences X0, X1, X2, โ€ฆ โ€ฆ , XMโˆ’1 is denoted by Xj j=0
Mโˆ’1
.
A set of sequences Xj j=0
Mโˆ’1
is called zero correlation zone sequence set, denoted by Z(N,M,ZCZ) if the periodic
correlation functions satisfy [8] :
โˆ€j, 0 < ฯ„ โ‰ค Zcz , ฮธ Xj ,Xj
ฯ„ =0 (2)
โˆ€j, j โ‰  v , ฯ„ โ‰ค Zcz , ฮธ Xj ,Xv
ฯ„ =0 (3)
2.3 Definition 3: Let each element of an H ร— H matrix F(n)
(n โ‰ฅ 0 ) be a sequence of length l = 2n
ร— lm =
2m+n, where lm=2m and mโ‰ฅ0 [5].
A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ
DOI: 10.9790/2834-10310813 www.iosrjournals.org 9 | Page
F(n)
=
F11
n
F12
n
F21
n
F22
n
โ‹ฏ
F1k
n
F1H
n
F2k
n
F2H
n
โ‹ฎ โ‹ฑ โ‹ฎ
FH1
n
FH2
n
โ‹ฏ FHk
n
FHH
n
(Hร—H)
(4)
If F satisfies the following formulas, then F is a MOCS [13]:
ฯ†Fj,k Fj,k
(ฯ„)H
k=1 = 0, for โˆ€j, โˆ€ฯ„ โ‰  0 (5)
ฯ†Fj,k Fs,k
(ฯ„)H
k=1 = 0, for โˆ€j โ‰  s , โˆ€ฯ„ (6)
Where ฯ†Fj,k Fj,k
(ฯ„) and ฯ†Fj,k Fs,k
(ฯ„) are the aperiodic autocorrelation and cross-correlation functions, respectively
[10].
III. Proposed Sequence Construction
In this section, a new method for constructing sets of ternary ZCZ sequences is proposed.
The construction is accomplished through three steps.
3.1 Step 1: The matrix MOCS of dimension H ร— H = (2n+1
, 2n+1
). Since each element in F(n)
is a sequence
of length l = 2n
ร— lm = 2m+n
, each raw has a length of L = 22n+m+1
. The matrix MOCS is (2n+1
ร—
22n+m+1
) with n โ‰ฅ 0 and m โ‰ฅ 0 [5].
F(n)
=
F11
(n)
F12
(n)
F21
(n)
F22
(n)
โ‹ฏ
F1k
(n)
F1H
(n)
F2k
(n)
F2H
(n)
โ‹ฎ โ‹ฑ โ‹ฎ
FH1
(n)
FH2
(n)
โ‹ฏ FHk
(n)
FHH
(n)
=
f1
โ‹ฎ
fj
โ‹ฎ
fH
(7)
A set of ๐‘€ = 2๐ป = 2 ๐‘›+2
sequences ๐‘‘๐‘— , each of length ๐‘† = 2๐ฟ + 2 = 22๐‘›+๐‘š+2
+ 2, is constructed as
follows:
For 1 โ‰ค ๐‘— โ‰ค ๐ป
๐‘‘๐‘— +0 = โˆ’๐‘“๐‘— 0 ๐‘“๐‘— 0 =[ โˆ’๐น๐‘—1
(๐‘›)
โ€ฆ โˆ’๐น๐‘—๐‘˜
(๐‘›)
โ€ฆ . โˆ’๐น๐‘—๐ป
๐‘›
0 ๐น๐‘—1
(๐‘›)
โ€ฆ ๐น๐‘—๐‘˜
(๐‘›)
โ€ฆ. ๐น๐‘—๐ป
๐‘›
0] (8)
๐‘‘๐‘— +1 = ๐‘“๐‘— 0 ๐‘“๐‘— 0 =[ ๐น๐‘—1
(๐‘›)
โ€ฆ ๐น๐‘—๐‘˜
(๐‘›)
โ€ฆ. ๐น๐‘—๐ป
๐‘›
0 ๐น๐‘—1
(๐‘›)
โ€ฆ ๐น๐‘—๐‘˜
(๐‘›)
โ€ฆ. ๐น๐‘—๐ป
๐‘›
0] (9)
Where [๐‘“๐‘— 0 ๐‘“๐‘— 0] is called the concatenation operation between two rows ๐‘“๐‘— and ๐‘“๐‘— of the matrix ๐น(๐‘›)
and two
zeros.
3.2 Step 2: For the first iteration, ๐‘ = 0, we can generate , based on interleaving technique in [10], a series of
sets ๐‘‡๐‘— of ๐‘€ sequences.
A pair of sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1of length ๐‘ = 2 ๐‘+1
ร— ๐‘† = 2 ๐‘+1
ร— 22๐‘›+๐‘š+2
+ 2 = 2 ๐‘+1
ร—
2ร— ๐ฟ+2 is constructed by interleaving elements (ยฑ ๐น๐‘—๐‘˜๐‘› ๐‘’๐‘ก 0 ) of a sequence pair ๐‘‘๐‘—+0 and ๐‘‘๐‘—+1 as follows (by
using equations (8) and (9)):
For 1 โ‰ค ๐‘— โ‰ค ๐ป,
๐‘‡๐‘— +0 = [๐‘‘๐‘— +0,1, ๐‘‘๐‘— +1,1, ๐‘‘๐‘— +0,2, ๐‘‘๐‘—+1,2, โ€ฆ โ€ฆ , ๐‘‘๐‘—+0,๐‘†, ๐‘‘๐‘— +1,๐‘†] (10)
๐‘‡๐‘— +0 = [โˆ’๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
โ€ฆ โ€“ ๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
โ€ฆ โˆ’๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
0 0 ๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
โ€ฆ ๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
โ€ฆ ๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
0 0]
and,
๐‘‡๐‘— +1 = [๐‘‘๐‘— +0,1, โˆ’๐‘‘๐‘— +1,1, ๐‘‘๐‘— +0,2, โˆ’๐‘‘๐‘— +1,2, โ€ฆ โ€ฆ , ๐‘‘๐‘— +0,๐‘†, โˆ’๐‘‘๐‘— +1,๐‘†] (11)
๐‘‡๐‘— +1 = [โˆ’๐น๐‘—1
๐‘›
โˆ’ ๐น๐‘—1
๐‘›
โ€ฆ โ€“ ๐น๐‘—๐‘˜
๐‘›
โˆ’ ๐น๐‘—๐‘˜
๐‘›
โ€ฆ โˆ’ ๐น๐‘—๐ป
๐‘›
โˆ’ ๐น๐‘—๐ป
๐‘›
0 0 ๐น๐‘—1
๐‘›
โˆ’ ๐น๐‘—1
๐‘›
โ€ฆ ๐น๐‘—๐‘˜
๐‘›
โˆ’๐น๐‘—๐‘˜
๐‘›
โ€ฆ ๐น๐‘—๐ป
๐‘›
โˆ’ ๐น๐‘—๐ป
๐‘›
0 0 ]
The member size of the sequence set ๐‘‡๐‘— is ๐‘€ = 2๐ป = 2 ๐‘›+2
.
3.3 Step 3: For ๐‘ > 0, we can recursively construct a new series of set, T๐‘— , by interleaving of actual ๐‘‡๐‘— (in
equations (10) and (11)). Both sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1 are of length ๐‘ = 2 ๐‘+1
ร— ๐‘† .
A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ
DOI: 10.9790/2834-10310813 www.iosrjournals.org 10 | Page
The ๐‘‡๐‘— is generated as follows:
For 1 โ‰ค ๐‘— โ‰ค ๐ป,
๐‘‡๐‘— +0 = [๐‘‡๐‘— +0,1, ๐‘‡๐‘—+1,1, ๐‘‡๐‘— +0,2, ๐‘‡๐‘— +1,2, โ€ฆ โ€ฆ , ๐‘‡๐‘— +0,2๐‘†, ๐‘‡๐‘— +1,2๐‘†] (12)
๐‘‡๐‘— +0 = โˆ’๐น๐‘—1
๐‘›
โˆ’๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
โˆ’๐น๐‘—1
๐‘›
โ€ฆ โˆ’๐น๐‘—๐‘˜
๐‘›
โˆ’๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
โˆ’๐น๐‘—๐‘˜
๐‘›
โ€ฆ โˆ’๐น๐‘—๐ป
๐‘›
โˆ’๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
โˆ’๐น๐‘—๐ป
๐‘›
0000๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
โˆ’ ๐น๐‘—1
๐‘›
โ€ฆ ๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
โˆ’ ๐น๐‘—๐‘˜
๐‘›
โ€ฆ ๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
โˆ’ ๐น๐‘—๐ป
๐‘›
0000
and
๐‘‡๐‘— +1 = [๐‘‡๐‘— +0,1, โˆ’๐‘‡๐‘— +1,1, ๐‘‡๐‘— +0,2, โˆ’ ๐‘‡๐‘— +1,2, โ€ฆ โ€ฆ , ๐‘‡๐‘— +0,2๐‘†, โˆ’๐‘‡๐‘— +1,2๐‘†] (13)
๐‘‡๐‘— +1 = [โˆ’๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
โ€ฆ โˆ’๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
โ€ฆ โˆ’๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
๐นj๐ป
๐‘›
0000๐น๐‘—1
๐‘›
โˆ’๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
๐น๐‘—1
๐‘›
โ€ฆ ๐น๐‘—๐‘˜
๐‘›
โˆ’ ๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
๐น๐‘—๐‘˜
๐‘›
โ€ฆ ๐น๐‘—๐ป
๐‘›
โˆ’๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
๐น๐‘—๐ป
๐‘›
0000]
IV. Example Of Construction
4.1 Step 1: Let ๐น(1)
a matrix MOCS ๐ป ร— ๐ฟ) = (4 ร— 8 , ๐‘› = 1, ๐‘š = 0, ๐‘™ = 2 ๐‘›
ร— ๐‘™ ๐‘š = 2 ๐‘š+๐‘›
= 2.
๐น 1
=
๐น11
1
๐น12
1
๐น21
1
๐น22
1
๐น13
1
๐น14
1
๐น23
1
๐น24
1
๐น31
1
๐น32
1
๐น41
1
๐น42
1
๐น33
1
๐น34
1
๐น43
1
๐น44
1
=
๐‘“1
โ‹ฎ
๐‘“๐‘—
โ‹ฎ
๐‘“4
๐น 1
=
โˆ’ โˆ’ + +
โˆ’ โˆ’ โˆ’ โˆ’
+ โˆ’ โˆ’ +
+ โˆ’ + โˆ’
+ โˆ’ โˆ’ +
+ โˆ’ + โˆ’
โˆ’ โˆ’ + +
โˆ’ โˆ’ โˆ’ โˆ’
Where (-) and (+) are (-1) and (+1), respectively.
A set of ๐‘€ = 8 sequences ๐‘‘๐‘— , each of length ๐‘† = 18, is constructed as follows (using equations (8) and (9)):
For 1 โ‰ค ๐‘— โ‰ค 4,
๐‘‘1+0 = โˆ’๐‘“1 0, ๐‘“10
= โˆ’๐น11
1
โˆ’๐น12
1
โˆ’๐น13
1
โˆ’๐น14
1
0๐น11
1
๐น12
1
๐น13
1
๐น14
1
0 = [+ + โˆ’ โˆ’ โˆ’ + + โˆ’ 0 โˆ’ โˆ’ + + + โˆ’ โˆ’ +0]
It follows for the other sequences:
๐‘‘2+0 = [+ + + + โˆ’ + โˆ’ + 0 โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’0]
๐‘‘3+0 = โˆ’ + + โˆ’ + + โˆ’ โˆ’ 0 + โˆ’ โˆ’ + โˆ’ โˆ’ + +0
๐‘‘4+0 = + โˆ’ โˆ’ + + + + + 0 + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’0
and,
๐‘‘1+1 = ๐‘“1 0, ๐‘“10
= ๐น11
1
๐น12
1
๐น13
1
๐น14
1
0๐น11
1
๐น12
1
๐น13
1
๐น14
1
0 = [โˆ’ โˆ’ + + + โˆ’ โˆ’ + 0 โˆ’ โˆ’ + + + โˆ’ โˆ’ +0]
๐‘‘2+1 = [โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’ 0 โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’0]
๐‘‘3+1 = [+ โˆ’ โˆ’ + โˆ’ โˆ’ + + 0 + โˆ’ โˆ’ + โˆ’ โˆ’ + +0]
๐‘‘4+1 = + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ 0 + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’0
4.2 Step 2: For the first iteration, ๐‘ = 0.
A pair of sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1 of length ๐‘ = 2 ๐‘+1
๐‘† = 36 is constructed as follows (using equations (10)
and (11)):
For 1 โ‰ค ๐‘— โ‰ค 4,
๐‘‡1+0 = [+ + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ + + โˆ’ + โˆ’ โˆ’ + 00 โˆ’ โˆ’ โˆ’ โˆ’ + + + + + โˆ’ + โˆ’ โˆ’ + โˆ’ +00]
๐‘‡2+0 = + + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ + + โˆ’ 00 โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’ + โˆ’ + โˆ’ 00
๐‘‡3+0 = โˆ’ + + โˆ’ + โˆ’ โˆ’ + + + โˆ’ โˆ’ โˆ’ โˆ’ + + 00 + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ + + + +00
๐‘‡4+0 = [โˆ’ + + โˆ’ โˆ’ + + โˆ’ + + โˆ’ โˆ’ + + โˆ’ โˆ’ 00 + โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’00]
๐‘‡1+1 = [+ + + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + + โˆ’ + โˆ’ 00 โˆ’ โˆ’ + + + + โˆ’ โˆ’ + โˆ’ โˆ’ + โˆ’ + + โˆ’ 00]
๐‘‡2+1 = [+ + + + + + + + โˆ’ + โˆ’ + โˆ’ + โˆ’ + 00 โˆ’ โˆ’ + + โˆ’ โˆ’ + + + โˆ’ โˆ’ + + โˆ’ โˆ’ + 00]
๐‘‡3+1 = [โˆ’ + โˆ’ + + โˆ’ + โˆ’ + + + + โˆ’ โˆ’ โˆ’ โˆ’ 00 + โˆ’ โˆ’ + โˆ’ + + โˆ’ โˆ’ โˆ’ + + + + โˆ’ โˆ’00]
๐‘‡4+1 = [โˆ’ + โˆ’ + โˆ’ + โˆ’ + + + + + + + + + 00 + โˆ’ โˆ’ + + โˆ’ โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ + +00]
A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ
DOI: 10.9790/2834-10310813 www.iosrjournals.org 11 | Page
4.3 Step 3: For the next iteration ๐‘ = 1, the ๐‘‡๐‘— is generated as follows (using equations (12) and (13)):
๐‘‡1+0 = [+ + + + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ + โˆ’ + + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ + + โˆ’ 0000 โˆ’ โˆ’ โˆ’ โˆ’
โˆ’ + + + + + + + + โˆ’ โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ + โˆ’ + + โˆ’ 0000]
๐‘‡2+0 = [+ + + + โˆ’ โˆ’ + + + + + + โˆ’ โˆ’ + + โˆ’ + โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ + + โˆ’ โˆ’ + 0000 โˆ’ โˆ’ โˆ’ โˆ’
โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ +0000]
๐‘‡3+0 = [โˆ’ + โˆ’ + + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ + + โˆ’ + + + + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ 0000 + โˆ’ +
โˆ’ + โˆ’ โˆ’ + โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + + + + โˆ’ โˆ’0000]
๐‘‡4+0 = [โˆ’ + โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ + + โˆ’ โˆ’ + + + + + โˆ’ โˆ’ + + + + + + โˆ’ โˆ’ + + 0000 + โˆ’ + โˆ’
+ โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + +0000]
๐‘‡1+1 = [+ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + + + + โˆ’ + + โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ + 0000 โˆ’ โˆ’ + +
โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ + + + + + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ + โˆ’ + 0000]
๐‘‡2+1 = [+ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ 0000 โˆ’ โˆ’ + +
โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’0000]
๐‘‡3+1 = [โˆ’ + + โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ + + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + + + + 0000 + โˆ’ โˆ’ +
+ โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ + + + +0000]
๐‘‡4+1 = [โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ 0000 + โˆ’ โˆ’ +
+ โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’0000]
The length of both sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1is equal to ๐‘ = 2 ๐‘+1
๐‘† = 72.
The member size of the sequence set ๐‘‡๐‘— is ๐‘€ = 8.
Fig. 1 shows the auto-correlation function given in Equation 1 of ๐‘‡1+0, and Fig. 2 shows the cross-
correlation function given in Equation 1 of ๐‘‡1+0 with ๐‘‡2+0.
Figure 1. The autocorrelation function of ๐‘‡1+0 with ๐‘๐ถ๐‘(72,8,6)
0 10 20 30 40 50 60 70 80
0
10
20
30
40
50
60
70
Delay Time
PeriodicAuto-CorrelationFunction
The Periodic Auto-Correlation Function
A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ
DOI: 10.9790/2834-10310813 www.iosrjournals.org 12 | Page
Figure 2. The cross-correlation function between ๐‘‡1+0 and ๐‘‡2+0 with ๐‘๐ถ๐‘(72,8,6)
The periodic correlation function confirm that ๐‘‡๐‘— is a ZCZ (72,8,6) sequence set.
V. The Properties Of The Proposed Sequence
The proposed ternary ZCZ sequence set can satisfy the ideal autocorrelation and cross-correlation properties in
the zero-correlation zone.
The generated sequence set satisfies the following properties:
โˆ€๐‘—, โˆ€๐œ โ‰  0, ๐œ โ‰ค ๐‘ ๐ถ๐‘
๐œƒ ๐‘‡ ๐‘— ,๐‘‡ ๐‘—
๐œ =0 (14)
and,
โˆ€๐‘— โ‰  ๐‘ฃ, โˆ€๐œ, ๐œ โ‰ค ๐‘ ๐ถ๐‘
๐œƒ ๐‘‡ ๐‘— ,๐‘‡๐‘ฃ
๐œ =0. (15)
The ๐‘‡๐‘— is a ternary ZCZ sequence set having parameters:
1) For ๐‘› + ๐‘š = 0, ๐‘๐ถ๐‘ ๐‘, ๐‘€, ๐‘ ๐ถ๐‘ = ๐‘๐ถ๐‘(2 ๐‘+2
1 + 22๐‘›+๐‘š+1
, 2 ๐‘›+2
, 2 ๐‘›+๐‘š+๐‘+1
โˆ’ 1) = ๐‘๐ถ๐‘ 2 ๐‘+1
ร—
6,4,2 ๐‘+1โˆ’1.
2) For ๐‘› + ๐‘š = 1, ๐‘๐ถ๐‘ ๐‘, ๐‘€, ๐‘ ๐ถ๐‘ = ๐‘๐ถ๐‘(2 ๐‘+2
1 + 22๐‘›+๐‘š+1
, 2n+2
, 2n+m+p+1
โˆ’ 2) = ZCZ 2p+2
1 +
2n+2,2n+2,2p+2โˆ’2.
3) For n + m > 1, ZCZ N, M, ZCZ = ZCZ(2p+2
1 + 22n+m+1
, 2n+2
, 2n+m+p
+ 4 ร— p).
VI. Conclusion
In this paper, we have proposed a new method for constructing sets of ternary ZCZ sequences based on
binary mutually orthogonal complementary set (MOCS) and from padding zero between sequences of MOCS.
The periodic auto-correlation function side lobes and the periodic cross-correlation function of the proposed
sequence set is zero for the phase shifts within the zero correlation zone. The proposed ternary ZCZ sequence
set is almost optimal ZCZ sequence set.
0 10 20 30 40 50 60 70 80
0
5
10
15
20
25
30
35
Delay Time
PeriodicCross-CorrelationFunction
The Periodic Cross-Correlation Function
A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ
DOI: 10.9790/2834-10310813 www.iosrjournals.org 13 | Page
References
[1]. B. Fassi, A. Djebbari, and A. Taleb-Ahmed, Ternary Zero Correlation Zone Sequence Sets for Asynchronous DS-CDMA, Journal
Communications and Network, 6(4), 2014, 209-217.
[2]. S. Renghui, Z. Xiaoqun, Li. Lizhi, Research on Construction Method of ZCZ Sequence Pairs Set, Journal of Convergence
Information Technology, 6(1), January 2011, 15-23.
[3]. P. Z.Fan, Spreading Sequence Design and Theoretical Limits for quasi-synchronous CDMA Systemsโ€™, EURASIP Journal on
wireless Communications and Networking, 2004, 19-31.
[4]. H. Donelan, T. Oโ€™Farrell, Large Families of Ternary Sequences with Aperiodic Zero Correlation Zones for a MC-DS-CDMA
System, Proc. Of 13 th. IEEE Intl. SPIMRC, 5, 2002, 2322 โ€“ 2326.
[5]. P. Z. Fan, N. Suehiro, N. Kuroyanagi and X. M. Deng, Class of binary sequences with zero correlation zone, IEE Electronic Letters,
35(10), 1999, 777-779.
[6]. N. Suk-Hoon, On ZCZ Sequences and its Application to MC-DS-CDMA, Master of Science, YONSEI University, 2005.
[7]. B. Fassi, A. Djebbari, A Taleb-Ahmed, and I. Dayoub , A New Class of Binary Zero Correlation Zone Sequence Sets, IOSR-
JECE, 5(3),2013, 15-19
[8]. T. Hayashi, A class of zero-correlation zone sequence set using a perfect sequence, IEEE Signal ProcessingLetters, 16(4),2009,
331-334.
[9]. T. Hayashi, Y. Watanabe, and T. Maeda, A Novel Class of Binary Zero-Correlation Zone Sequence Sets by using a Cyclic
Difference Set, in ISITA: Information Theory and its Applications, Melbourne, Australia, 2014, 650-654.
[10]. T. Maeda, S. Kanemoto, T. Hayashi, A Novel Class of Binary Zero-Correlation Zone Sequence Sets, Nยฐ978-1-4244-6890-ยฉ2010
IEEE, TENCON 2010.
[11]. T. Hayashi, A class of ternary sequence sets having a zero correlation zone for even and odd correlation functions, IEEE ISIT
Information Theory, Yokohama, Japan, 2003, 434.
[12]. H. Torii, M. Nakamura, and N. Suehiro, A New Class of Polyphase Sequence Sets with Optimal Zero Correlation Zonesโ€™, IEICE
Trans. Fundamentals, E88(7), 2005, 1987-1994.
[13]. C.C. Tseng, and C.L. Liu, Complementary sets of sequences, IEEE Transactions on Information Theory, 18(5), 1972, 644-652.

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B010310813

  • 1. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 3, Ver. I (May - Jun.2015), PP 08-13 www.iosrjournals.org DOI: 10.9790/2834-10310813 www.iosrjournals.org 8 | Page A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonal Complementary Sets B. Fassi, H. Mimoun, R. Messaoudi, M. Addad Telecommunications and Digital Signal Processing Laboratory, Djillali Liabes University of Sidi Bel Abbes, Algeria Abstract: This paper proposes a new class of ternary zero correlation zone (ZCZ) sequence sets based on mutually orthogonal complementary sets (MOCS), in which the periodic cross-correlation function and the out- of-phase of the periodic auto-correlation function of the proposed sequence set are zero in a specified zone of phase shift. It is shown that the proposed zero correlation zone sequence set can achieve the upper bound on the ternary ZCZ codes. Keywords - Sequence design, mutually orthogonal complementary sets, theoretical upper bound, zero correlation zone (ZCZ) sequences. I. Introduction Different types of sequence set used in communications systems have been studied in order to reduce the Multiple Access Interference (MAI) [1-6]. Zero correlation zone (ZCZ) sequences, which have vigorously been studied now, are defined to be a sequence set with ZCZ which means the duration with zero auto-correlation function and zero cross-correlation function at out-of-phase state [1-12]. When ZCZ sequences are used as spreading sequences in DS-CDMA, it can effectively eliminate MAI if all multiple access delays are inside ZCZ [1-6]. There are various intensive studies on the constructing of ZCZ sequences including binary, ternary and polyphase sequences [1-12]. Generally, sets of ZCZ sequences are characterized by the period of sequences N, the family size, namely the number of sequences M, and the length of the zero-correlation zone ZCZ [7]. A ZCZ (N, M, ZCZ) sequence set that satisfies the theoretical bound defined by the ratio M Zcz + 1 /N = 1 is called an optimal zero-correlation zone sequence set [7, 10]. In this paper, we propose a new construction method to obtain ternary ZCZ sequence sets based on binary mutually orthogonal complementary set (MOCS) and from padding zero between sequences of MOCS. Our proposed ternary zero-correlation zone sequence set is almost optimal ZCZ sequence set. The paper is organized as follows. Section 2 introduces the notations required for the subsequent sections, the proposed scheme for sequence construction is explained in section 3. Examples of new ZCZ sequence sets are presented in Section 4. The properties of the proposed sequence sets are shown in Section 5. Finally, we draw the concluding remarks. II. Notations 2.1 Definition 1: Suppose Xj=(xj,0, xj,1, โ€ฆ โ€ฆ . xj,Nโˆ’1) and, Xv =(xv,0, xv,1, โ€ฆ โ€ฆ . xv,Nโˆ’1) are two sequences of period N. Sequence pair (Xj, Xv) is called a binary sequence pair if xj,i, xv,i โˆˆ โˆ’1, +1 , i = 0,1,2, โ€ฆ โ€ฆ โ€ฆ N โˆ’ 1 [2]. The Periodic Correlation Function (PCF) between Xj and Xv at a shift ฯ„ is defined by [8]: โˆ€ฯ„ โ‰ฅ 0, ฮธ Xj ,Xv ฯ„ = xj,ixv, i+ฯ„ mod (N) Nโˆ’1 i=0 and ฮธ Xv ,Xj โˆ’ฯ„ = ฮธ Xj ,Xv ฯ„ (1) 2.2 Definition 2: A set of M sequences X0, X1, X2, โ€ฆ โ€ฆ , XMโˆ’1 is denoted by Xj j=0 Mโˆ’1 . A set of sequences Xj j=0 Mโˆ’1 is called zero correlation zone sequence set, denoted by Z(N,M,ZCZ) if the periodic correlation functions satisfy [8] : โˆ€j, 0 < ฯ„ โ‰ค Zcz , ฮธ Xj ,Xj ฯ„ =0 (2) โˆ€j, j โ‰  v , ฯ„ โ‰ค Zcz , ฮธ Xj ,Xv ฯ„ =0 (3) 2.3 Definition 3: Let each element of an H ร— H matrix F(n) (n โ‰ฅ 0 ) be a sequence of length l = 2n ร— lm = 2m+n, where lm=2m and mโ‰ฅ0 [5].
  • 2. A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ DOI: 10.9790/2834-10310813 www.iosrjournals.org 9 | Page F(n) = F11 n F12 n F21 n F22 n โ‹ฏ F1k n F1H n F2k n F2H n โ‹ฎ โ‹ฑ โ‹ฎ FH1 n FH2 n โ‹ฏ FHk n FHH n (Hร—H) (4) If F satisfies the following formulas, then F is a MOCS [13]: ฯ†Fj,k Fj,k (ฯ„)H k=1 = 0, for โˆ€j, โˆ€ฯ„ โ‰  0 (5) ฯ†Fj,k Fs,k (ฯ„)H k=1 = 0, for โˆ€j โ‰  s , โˆ€ฯ„ (6) Where ฯ†Fj,k Fj,k (ฯ„) and ฯ†Fj,k Fs,k (ฯ„) are the aperiodic autocorrelation and cross-correlation functions, respectively [10]. III. Proposed Sequence Construction In this section, a new method for constructing sets of ternary ZCZ sequences is proposed. The construction is accomplished through three steps. 3.1 Step 1: The matrix MOCS of dimension H ร— H = (2n+1 , 2n+1 ). Since each element in F(n) is a sequence of length l = 2n ร— lm = 2m+n , each raw has a length of L = 22n+m+1 . The matrix MOCS is (2n+1 ร— 22n+m+1 ) with n โ‰ฅ 0 and m โ‰ฅ 0 [5]. F(n) = F11 (n) F12 (n) F21 (n) F22 (n) โ‹ฏ F1k (n) F1H (n) F2k (n) F2H (n) โ‹ฎ โ‹ฑ โ‹ฎ FH1 (n) FH2 (n) โ‹ฏ FHk (n) FHH (n) = f1 โ‹ฎ fj โ‹ฎ fH (7) A set of ๐‘€ = 2๐ป = 2 ๐‘›+2 sequences ๐‘‘๐‘— , each of length ๐‘† = 2๐ฟ + 2 = 22๐‘›+๐‘š+2 + 2, is constructed as follows: For 1 โ‰ค ๐‘— โ‰ค ๐ป ๐‘‘๐‘— +0 = โˆ’๐‘“๐‘— 0 ๐‘“๐‘— 0 =[ โˆ’๐น๐‘—1 (๐‘›) โ€ฆ โˆ’๐น๐‘—๐‘˜ (๐‘›) โ€ฆ . โˆ’๐น๐‘—๐ป ๐‘› 0 ๐น๐‘—1 (๐‘›) โ€ฆ ๐น๐‘—๐‘˜ (๐‘›) โ€ฆ. ๐น๐‘—๐ป ๐‘› 0] (8) ๐‘‘๐‘— +1 = ๐‘“๐‘— 0 ๐‘“๐‘— 0 =[ ๐น๐‘—1 (๐‘›) โ€ฆ ๐น๐‘—๐‘˜ (๐‘›) โ€ฆ. ๐น๐‘—๐ป ๐‘› 0 ๐น๐‘—1 (๐‘›) โ€ฆ ๐น๐‘—๐‘˜ (๐‘›) โ€ฆ. ๐น๐‘—๐ป ๐‘› 0] (9) Where [๐‘“๐‘— 0 ๐‘“๐‘— 0] is called the concatenation operation between two rows ๐‘“๐‘— and ๐‘“๐‘— of the matrix ๐น(๐‘›) and two zeros. 3.2 Step 2: For the first iteration, ๐‘ = 0, we can generate , based on interleaving technique in [10], a series of sets ๐‘‡๐‘— of ๐‘€ sequences. A pair of sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1of length ๐‘ = 2 ๐‘+1 ร— ๐‘† = 2 ๐‘+1 ร— 22๐‘›+๐‘š+2 + 2 = 2 ๐‘+1 ร— 2ร— ๐ฟ+2 is constructed by interleaving elements (ยฑ ๐น๐‘—๐‘˜๐‘› ๐‘’๐‘ก 0 ) of a sequence pair ๐‘‘๐‘—+0 and ๐‘‘๐‘—+1 as follows (by using equations (8) and (9)): For 1 โ‰ค ๐‘— โ‰ค ๐ป, ๐‘‡๐‘— +0 = [๐‘‘๐‘— +0,1, ๐‘‘๐‘— +1,1, ๐‘‘๐‘— +0,2, ๐‘‘๐‘—+1,2, โ€ฆ โ€ฆ , ๐‘‘๐‘—+0,๐‘†, ๐‘‘๐‘— +1,๐‘†] (10) ๐‘‡๐‘— +0 = [โˆ’๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› โ€ฆ โ€“ ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› โ€ฆ โˆ’๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› 0 0 ๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› โ€ฆ ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› โ€ฆ ๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› 0 0] and, ๐‘‡๐‘— +1 = [๐‘‘๐‘— +0,1, โˆ’๐‘‘๐‘— +1,1, ๐‘‘๐‘— +0,2, โˆ’๐‘‘๐‘— +1,2, โ€ฆ โ€ฆ , ๐‘‘๐‘— +0,๐‘†, โˆ’๐‘‘๐‘— +1,๐‘†] (11) ๐‘‡๐‘— +1 = [โˆ’๐น๐‘—1 ๐‘› โˆ’ ๐น๐‘—1 ๐‘› โ€ฆ โ€“ ๐น๐‘—๐‘˜ ๐‘› โˆ’ ๐น๐‘—๐‘˜ ๐‘› โ€ฆ โˆ’ ๐น๐‘—๐ป ๐‘› โˆ’ ๐น๐‘—๐ป ๐‘› 0 0 ๐น๐‘—1 ๐‘› โˆ’ ๐น๐‘—1 ๐‘› โ€ฆ ๐น๐‘—๐‘˜ ๐‘› โˆ’๐น๐‘—๐‘˜ ๐‘› โ€ฆ ๐น๐‘—๐ป ๐‘› โˆ’ ๐น๐‘—๐ป ๐‘› 0 0 ] The member size of the sequence set ๐‘‡๐‘— is ๐‘€ = 2๐ป = 2 ๐‘›+2 . 3.3 Step 3: For ๐‘ > 0, we can recursively construct a new series of set, T๐‘— , by interleaving of actual ๐‘‡๐‘— (in equations (10) and (11)). Both sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1 are of length ๐‘ = 2 ๐‘+1 ร— ๐‘† .
  • 3. A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ DOI: 10.9790/2834-10310813 www.iosrjournals.org 10 | Page The ๐‘‡๐‘— is generated as follows: For 1 โ‰ค ๐‘— โ‰ค ๐ป, ๐‘‡๐‘— +0 = [๐‘‡๐‘— +0,1, ๐‘‡๐‘—+1,1, ๐‘‡๐‘— +0,2, ๐‘‡๐‘— +1,2, โ€ฆ โ€ฆ , ๐‘‡๐‘— +0,2๐‘†, ๐‘‡๐‘— +1,2๐‘†] (12) ๐‘‡๐‘— +0 = โˆ’๐น๐‘—1 ๐‘› โˆ’๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› โˆ’๐น๐‘—1 ๐‘› โ€ฆ โˆ’๐น๐‘—๐‘˜ ๐‘› โˆ’๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› โˆ’๐น๐‘—๐‘˜ ๐‘› โ€ฆ โˆ’๐น๐‘—๐ป ๐‘› โˆ’๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› โˆ’๐น๐‘—๐ป ๐‘› 0000๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› โˆ’ ๐น๐‘—1 ๐‘› โ€ฆ ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› โˆ’ ๐น๐‘—๐‘˜ ๐‘› โ€ฆ ๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› โˆ’ ๐น๐‘—๐ป ๐‘› 0000 and ๐‘‡๐‘— +1 = [๐‘‡๐‘— +0,1, โˆ’๐‘‡๐‘— +1,1, ๐‘‡๐‘— +0,2, โˆ’ ๐‘‡๐‘— +1,2, โ€ฆ โ€ฆ , ๐‘‡๐‘— +0,2๐‘†, โˆ’๐‘‡๐‘— +1,2๐‘†] (13) ๐‘‡๐‘— +1 = [โˆ’๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› โ€ฆ โˆ’๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› โ€ฆ โˆ’๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› ๐นj๐ป ๐‘› 0000๐น๐‘—1 ๐‘› โˆ’๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› ๐น๐‘—1 ๐‘› โ€ฆ ๐น๐‘—๐‘˜ ๐‘› โˆ’ ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› ๐น๐‘—๐‘˜ ๐‘› โ€ฆ ๐น๐‘—๐ป ๐‘› โˆ’๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› ๐น๐‘—๐ป ๐‘› 0000] IV. Example Of Construction 4.1 Step 1: Let ๐น(1) a matrix MOCS ๐ป ร— ๐ฟ) = (4 ร— 8 , ๐‘› = 1, ๐‘š = 0, ๐‘™ = 2 ๐‘› ร— ๐‘™ ๐‘š = 2 ๐‘š+๐‘› = 2. ๐น 1 = ๐น11 1 ๐น12 1 ๐น21 1 ๐น22 1 ๐น13 1 ๐น14 1 ๐น23 1 ๐น24 1 ๐น31 1 ๐น32 1 ๐น41 1 ๐น42 1 ๐น33 1 ๐น34 1 ๐น43 1 ๐น44 1 = ๐‘“1 โ‹ฎ ๐‘“๐‘— โ‹ฎ ๐‘“4 ๐น 1 = โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ Where (-) and (+) are (-1) and (+1), respectively. A set of ๐‘€ = 8 sequences ๐‘‘๐‘— , each of length ๐‘† = 18, is constructed as follows (using equations (8) and (9)): For 1 โ‰ค ๐‘— โ‰ค 4, ๐‘‘1+0 = โˆ’๐‘“1 0, ๐‘“10 = โˆ’๐น11 1 โˆ’๐น12 1 โˆ’๐น13 1 โˆ’๐น14 1 0๐น11 1 ๐น12 1 ๐น13 1 ๐น14 1 0 = [+ + โˆ’ โˆ’ โˆ’ + + โˆ’ 0 โˆ’ โˆ’ + + + โˆ’ โˆ’ +0] It follows for the other sequences: ๐‘‘2+0 = [+ + + + โˆ’ + โˆ’ + 0 โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’0] ๐‘‘3+0 = โˆ’ + + โˆ’ + + โˆ’ โˆ’ 0 + โˆ’ โˆ’ + โˆ’ โˆ’ + +0 ๐‘‘4+0 = + โˆ’ โˆ’ + + + + + 0 + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’0 and, ๐‘‘1+1 = ๐‘“1 0, ๐‘“10 = ๐น11 1 ๐น12 1 ๐น13 1 ๐น14 1 0๐น11 1 ๐น12 1 ๐น13 1 ๐น14 1 0 = [โˆ’ โˆ’ + + + โˆ’ โˆ’ + 0 โˆ’ โˆ’ + + + โˆ’ โˆ’ +0] ๐‘‘2+1 = [โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’ 0 โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’0] ๐‘‘3+1 = [+ โˆ’ โˆ’ + โˆ’ โˆ’ + + 0 + โˆ’ โˆ’ + โˆ’ โˆ’ + +0] ๐‘‘4+1 = + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ 0 + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’0 4.2 Step 2: For the first iteration, ๐‘ = 0. A pair of sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1 of length ๐‘ = 2 ๐‘+1 ๐‘† = 36 is constructed as follows (using equations (10) and (11)): For 1 โ‰ค ๐‘— โ‰ค 4, ๐‘‡1+0 = [+ + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ + + โˆ’ + โˆ’ โˆ’ + 00 โˆ’ โˆ’ โˆ’ โˆ’ + + + + + โˆ’ + โˆ’ โˆ’ + โˆ’ +00] ๐‘‡2+0 = + + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ + + โˆ’ 00 โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + โˆ’ + โˆ’ + โˆ’ 00 ๐‘‡3+0 = โˆ’ + + โˆ’ + โˆ’ โˆ’ + + + โˆ’ โˆ’ โˆ’ โˆ’ + + 00 + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ + + + +00 ๐‘‡4+0 = [โˆ’ + + โˆ’ โˆ’ + + โˆ’ + + โˆ’ โˆ’ + + โˆ’ โˆ’ 00 + โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’00] ๐‘‡1+1 = [+ + + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ + + โˆ’ + โˆ’ 00 โˆ’ โˆ’ + + + + โˆ’ โˆ’ + โˆ’ โˆ’ + โˆ’ + + โˆ’ 00] ๐‘‡2+1 = [+ + + + + + + + โˆ’ + โˆ’ + โˆ’ + โˆ’ + 00 โˆ’ โˆ’ + + โˆ’ โˆ’ + + + โˆ’ โˆ’ + + โˆ’ โˆ’ + 00] ๐‘‡3+1 = [โˆ’ + โˆ’ + + โˆ’ + โˆ’ + + + + โˆ’ โˆ’ โˆ’ โˆ’ 00 + โˆ’ โˆ’ + โˆ’ + + โˆ’ โˆ’ โˆ’ + + + + โˆ’ โˆ’00] ๐‘‡4+1 = [โˆ’ + โˆ’ + โˆ’ + โˆ’ + + + + + + + + + 00 + โˆ’ โˆ’ + + โˆ’ โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ + +00]
  • 4. A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ DOI: 10.9790/2834-10310813 www.iosrjournals.org 11 | Page 4.3 Step 3: For the next iteration ๐‘ = 1, the ๐‘‡๐‘— is generated as follows (using equations (12) and (13)): ๐‘‡1+0 = [+ + + + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ + โˆ’ + + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ + + โˆ’ 0000 โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + + + + + + โˆ’ โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ + โˆ’ + + โˆ’ 0000] ๐‘‡2+0 = [+ + + + โˆ’ โˆ’ + + + + + + โˆ’ โˆ’ + + โˆ’ + โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ + + โˆ’ โˆ’ + 0000 โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ +0000] ๐‘‡3+0 = [โˆ’ + โˆ’ + + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ + + โˆ’ + + + + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ 0000 + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + + + + โˆ’ โˆ’0000] ๐‘‡4+0 = [โˆ’ + โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ + + โˆ’ โˆ’ + + + + + โˆ’ โˆ’ + + + + + + โˆ’ โˆ’ + + 0000 + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + +0000] ๐‘‡1+1 = [+ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + + + + โˆ’ + + โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ + 0000 โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ + + + + + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ + โˆ’ + 0000] ๐‘‡2+1 = [+ + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ 0000 โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’0000] ๐‘‡3+1 = [โˆ’ + + โˆ’ + โˆ’ + โˆ’ + โˆ’ โˆ’ + โˆ’ + โˆ’ + + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + + + + + 0000 + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ + + + +0000] ๐‘‡4+1 = [โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ 0000 + โˆ’ โˆ’ + + โˆ’ + โˆ’ + โˆ’ โˆ’ + + โˆ’ + โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ โˆ’ + + โˆ’ โˆ’ โˆ’ โˆ’0000] The length of both sequences ๐‘‡๐‘— +0 and ๐‘‡๐‘— +1is equal to ๐‘ = 2 ๐‘+1 ๐‘† = 72. The member size of the sequence set ๐‘‡๐‘— is ๐‘€ = 8. Fig. 1 shows the auto-correlation function given in Equation 1 of ๐‘‡1+0, and Fig. 2 shows the cross- correlation function given in Equation 1 of ๐‘‡1+0 with ๐‘‡2+0. Figure 1. The autocorrelation function of ๐‘‡1+0 with ๐‘๐ถ๐‘(72,8,6) 0 10 20 30 40 50 60 70 80 0 10 20 30 40 50 60 70 Delay Time PeriodicAuto-CorrelationFunction The Periodic Auto-Correlation Function
  • 5. A New Class of Ternary Zero Correlation Zone Sequence Sets Based on Mutually Orthogonalโ€ฆ DOI: 10.9790/2834-10310813 www.iosrjournals.org 12 | Page Figure 2. The cross-correlation function between ๐‘‡1+0 and ๐‘‡2+0 with ๐‘๐ถ๐‘(72,8,6) The periodic correlation function confirm that ๐‘‡๐‘— is a ZCZ (72,8,6) sequence set. V. The Properties Of The Proposed Sequence The proposed ternary ZCZ sequence set can satisfy the ideal autocorrelation and cross-correlation properties in the zero-correlation zone. The generated sequence set satisfies the following properties: โˆ€๐‘—, โˆ€๐œ โ‰  0, ๐œ โ‰ค ๐‘ ๐ถ๐‘ ๐œƒ ๐‘‡ ๐‘— ,๐‘‡ ๐‘— ๐œ =0 (14) and, โˆ€๐‘— โ‰  ๐‘ฃ, โˆ€๐œ, ๐œ โ‰ค ๐‘ ๐ถ๐‘ ๐œƒ ๐‘‡ ๐‘— ,๐‘‡๐‘ฃ ๐œ =0. (15) The ๐‘‡๐‘— is a ternary ZCZ sequence set having parameters: 1) For ๐‘› + ๐‘š = 0, ๐‘๐ถ๐‘ ๐‘, ๐‘€, ๐‘ ๐ถ๐‘ = ๐‘๐ถ๐‘(2 ๐‘+2 1 + 22๐‘›+๐‘š+1 , 2 ๐‘›+2 , 2 ๐‘›+๐‘š+๐‘+1 โˆ’ 1) = ๐‘๐ถ๐‘ 2 ๐‘+1 ร— 6,4,2 ๐‘+1โˆ’1. 2) For ๐‘› + ๐‘š = 1, ๐‘๐ถ๐‘ ๐‘, ๐‘€, ๐‘ ๐ถ๐‘ = ๐‘๐ถ๐‘(2 ๐‘+2 1 + 22๐‘›+๐‘š+1 , 2n+2 , 2n+m+p+1 โˆ’ 2) = ZCZ 2p+2 1 + 2n+2,2n+2,2p+2โˆ’2. 3) For n + m > 1, ZCZ N, M, ZCZ = ZCZ(2p+2 1 + 22n+m+1 , 2n+2 , 2n+m+p + 4 ร— p). VI. Conclusion In this paper, we have proposed a new method for constructing sets of ternary ZCZ sequences based on binary mutually orthogonal complementary set (MOCS) and from padding zero between sequences of MOCS. The periodic auto-correlation function side lobes and the periodic cross-correlation function of the proposed sequence set is zero for the phase shifts within the zero correlation zone. The proposed ternary ZCZ sequence set is almost optimal ZCZ sequence set. 0 10 20 30 40 50 60 70 80 0 5 10 15 20 25 30 35 Delay Time PeriodicCross-CorrelationFunction The Periodic Cross-Correlation Function
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