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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 236
IMPLEMENTATION OF RECURSIVE DIGITAL SINUSOIDAL SIGNAL
GENERATOR of 5k Hz
BANDARI SHUBHAKER1, DUDA PRASAD2, B. THEJA3
1,2,3Assistant Professor, Dept of ECE, St. Martin's Engineering College, Hyderabad, Telangana, India.
--------------------------------------------------------------------------***----------------------------------------------------------------------------
Abstract: - The sinusodial wave has found its usage in
various applications, including factory testing for
connectivity. One method of sine-wave generation is
predicated on a regeneration system that employs the
principle of oscillation. Oscillation can only be attained if the
system assures the Bakhausen Criterion. Following the
principles of an analog oscillator, a digital oscillator is
implemented using a special two-pole band pass filter which
is modeled with a recursive difference equation to generate
fixed frequency sinusoidal wave.
Key words: sinusoidal wave generator, digital filter, positive
feedback, recursive difference equation, digital oscillator.
I. INTRODUCTION
The signal generator is strictly what its name implies: a
generator of signals used as a stimulus for electronic
measurements [1]. Most circuits require some sort
of input whose amplitude varies over time. The signal could
also be a real bipolar AC signal (with peaks oscillating above
and below a ground reference point) or may vary over wide
spread of DC offset voltages, either positive or
negative. May be a sinusodial wave or other analog function,
a digital pulse, a binary pattern or a purely arbitrary wave
form [2]. The signal generator can provide ideal waveforms
or it's going to add known, repeatable amounts and kinds of
distortion (or errors) to the signal it delivers [3]. This
characteristic is one among the signal generators greatest
virtues, since it's often impossible to make predictable
distortion exactly when and where its needed using only the
circuit itself.
Digital sinusoidal oscillators are essential elements in many
applications. They are used in communications, music
synthesis, control, radar, and digital signal processing [4].
These digital oscillators exhibit the advantages of digital
techniques, namely, stability, flexibility, and low cost.
Moreover, the parameters of a digitally generated sinusoid
are easy to control [5]. The conventional digital sinusoidal
oscillator utilizes look-up-table in which the samples of a
complete cycle of a sine wave are stored and read at
appropriate time intervals [6].
Digital sinusoidal signals can be generated using a second-
order recursive digital filter with poles on the unit circle in
the complex Z-plane [7]. Finite word-length constraints
appear in the practical implementation of all recursive digital
oscillators. Accordingly, the multiplier coefficient and the
outputs of arithmetic operations must be quantized to fit in
the allocated word-length [8].
The result is a distortion which affects both frequency and
amplitude of the generated sinusoidal signals. A digital
sinusoidal oscillator with low and uniform frequency spacing
was represented finally as a response. The oscillator
structure in requires three full word-length multipliers for
its hardware implementation.
II. DIFFERENCE EQUATION
A discrete, or differencial, equation expresses a correlation
between the elements of a succession, y(n) is
( ) ( ) ( ) ( )
( )
( )
( )
Which, means that the sequence y(n) may be any constant
sequence. Numerous mathematical models are posed in the
form of discrete equations. Discrete equations also arise
when solving continuous models using numerical methods, a
necessary task for all but the simplest models [9]. Computers
can only work with discrete data, so continuous equations
must be discretized before they can be solved numerically
[10].
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 237
III. RECURSIVE DIFFERENCE EQUATION BASED
MODEL
The sine wave can be used in many applications,
transmitting data in the form of signals those signals are
represented in the form of sine wave. Here, generating sine
wave using second order recursive difference equation. Sine
wave can be generated for minimum second order systems.
Oscillation can only be achieved by placing poles on the
imaginary axis, for that we have chosen coefficients for
second order systems.
IV. IMPLEMENTATION USING MATLAB SIMULINK
Using the above model designing a sinusoidal generator
with frequency f0=5k hz, fs=10 hz amplitude A=5 v, we get
following coefficients, assuming zero initial conditions
B0 = 0.273, a0 = 1, a1 = −1.996, a2 = 1, ω = 3.14, A = 5
V. RESULTS & DISCUSSIONS
Fig 3: IMPLEMENTATION OF RECURSIVE DIGITAL
SINUSOIDAL SIGNAL GENERATOR of 5k Hz
On simulation of above Simulink model a sinusoid of 5
k hz frequency and approximate peak to peak of 5v
generated as per implementation done using MATLAB
simulink Model as shown in fig:2 in section IV by using
Recursive Difference Equation Based Model.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 238
VI. CONCLUSION:
The recursive oscillator has good frequency stability,
but the essential circuit has high output distortion.
Nonlinear feedback offers the simplest performance over
the mid- and upper-frequency ranges. The decreasing cost
of digital devices and components has reduced the
popularity analog oscillators. The hitch is that the low
amplitude, which may be increased using a further gain
stage, but with the penalty of greatly reduced bandwidth
VII. REFERENCES
1. Archer, Stephen T., and Benjamin D. Pless.
"Stimulation signal generator for an implantable
device." U.S. Patent No. 6,690,974. 10 Feb. 2004.
2. Jefferson, William T. "Digital sine wave
generator." U.S. Patent No. 3,657,657. 18 Apr.
1972.
3. Kleijn, W. Bastiaan. "Encoding speech using
prototype waveforms." IEEE transactions on
speech and audio processing 1.4 (1993): 386-399.
4. Al-Ibrahim, M. M. "A simple recursive digital
sinusoidal oscillator with uniform frequency
spacing." ISCAS 2001. The 2001 IEEE
International Symposium on Circuits and Systems
(Cat. No. 01CH37196). Vol. 2. IEEE, 2001.
5. Fukuda, Shoji, and Takehito Yoda. "A novel
current-tracking method for active filters based
on a sinusoidal internal model [for PWM
invertors]." IEEE transactions on industry
applications 37.3 (2001): 888-895.
6. Hiasat, Ahmad A., and Abedulah M. Al-Khateeb.
"New high-resolution digital sinusoidal oscillator
structure with extremely low frequency and
sensitivity." international Journal of
Electronics 86.3 (1999): 287-296.
7. Fliege, Norbert J., and Jörg Wintermantel.
"Complex digital oscillators and FSK
modulators." IEEE Transactions on signal
processing 40.2 (1992): 333-342.
8. Lagadec, Roger, and Henry O. Kunz. "Process and
apparatus for translating the sampling rate of a
sampling sequence." U.S. Patent No. 4,748,578. 31
May 1988.
9. Barton, Paul I., and Constantinos C. Pantelides.
"Modeling of combined
discrete/continuousprocesses." AIChE
journal 40.6 (1994): 966-979.
10. Hansen, Per Christian. "Numerical tools for
analysis and solution of Fredholm integral
equations of the first kind." Inverse problems 8.6
(1992): 849.
11. Arabi, Karim, and Bozena Kaminska. "Oscillation-
test methodology for low-cost testing of active
analog filters." IEEE transactions on
Instrumentation and Measurement 48.4 (1999):
798-806.

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IRJET- Implementation of Recursive Digital Sinusoidal Signal Generator of 5k Hz

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 236 IMPLEMENTATION OF RECURSIVE DIGITAL SINUSOIDAL SIGNAL GENERATOR of 5k Hz BANDARI SHUBHAKER1, DUDA PRASAD2, B. THEJA3 1,2,3Assistant Professor, Dept of ECE, St. Martin's Engineering College, Hyderabad, Telangana, India. --------------------------------------------------------------------------***---------------------------------------------------------------------------- Abstract: - The sinusodial wave has found its usage in various applications, including factory testing for connectivity. One method of sine-wave generation is predicated on a regeneration system that employs the principle of oscillation. Oscillation can only be attained if the system assures the Bakhausen Criterion. Following the principles of an analog oscillator, a digital oscillator is implemented using a special two-pole band pass filter which is modeled with a recursive difference equation to generate fixed frequency sinusoidal wave. Key words: sinusoidal wave generator, digital filter, positive feedback, recursive difference equation, digital oscillator. I. INTRODUCTION The signal generator is strictly what its name implies: a generator of signals used as a stimulus for electronic measurements [1]. Most circuits require some sort of input whose amplitude varies over time. The signal could also be a real bipolar AC signal (with peaks oscillating above and below a ground reference point) or may vary over wide spread of DC offset voltages, either positive or negative. May be a sinusodial wave or other analog function, a digital pulse, a binary pattern or a purely arbitrary wave form [2]. The signal generator can provide ideal waveforms or it's going to add known, repeatable amounts and kinds of distortion (or errors) to the signal it delivers [3]. This characteristic is one among the signal generators greatest virtues, since it's often impossible to make predictable distortion exactly when and where its needed using only the circuit itself. Digital sinusoidal oscillators are essential elements in many applications. They are used in communications, music synthesis, control, radar, and digital signal processing [4]. These digital oscillators exhibit the advantages of digital techniques, namely, stability, flexibility, and low cost. Moreover, the parameters of a digitally generated sinusoid are easy to control [5]. The conventional digital sinusoidal oscillator utilizes look-up-table in which the samples of a complete cycle of a sine wave are stored and read at appropriate time intervals [6]. Digital sinusoidal signals can be generated using a second- order recursive digital filter with poles on the unit circle in the complex Z-plane [7]. Finite word-length constraints appear in the practical implementation of all recursive digital oscillators. Accordingly, the multiplier coefficient and the outputs of arithmetic operations must be quantized to fit in the allocated word-length [8]. The result is a distortion which affects both frequency and amplitude of the generated sinusoidal signals. A digital sinusoidal oscillator with low and uniform frequency spacing was represented finally as a response. The oscillator structure in requires three full word-length multipliers for its hardware implementation. II. DIFFERENCE EQUATION A discrete, or differencial, equation expresses a correlation between the elements of a succession, y(n) is ( ) ( ) ( ) ( ) ( ) ( ) ( ) Which, means that the sequence y(n) may be any constant sequence. Numerous mathematical models are posed in the form of discrete equations. Discrete equations also arise when solving continuous models using numerical methods, a necessary task for all but the simplest models [9]. Computers can only work with discrete data, so continuous equations must be discretized before they can be solved numerically [10].
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 237 III. RECURSIVE DIFFERENCE EQUATION BASED MODEL The sine wave can be used in many applications, transmitting data in the form of signals those signals are represented in the form of sine wave. Here, generating sine wave using second order recursive difference equation. Sine wave can be generated for minimum second order systems. Oscillation can only be achieved by placing poles on the imaginary axis, for that we have chosen coefficients for second order systems. IV. IMPLEMENTATION USING MATLAB SIMULINK Using the above model designing a sinusoidal generator with frequency f0=5k hz, fs=10 hz amplitude A=5 v, we get following coefficients, assuming zero initial conditions B0 = 0.273, a0 = 1, a1 = −1.996, a2 = 1, ω = 3.14, A = 5 V. RESULTS & DISCUSSIONS Fig 3: IMPLEMENTATION OF RECURSIVE DIGITAL SINUSOIDAL SIGNAL GENERATOR of 5k Hz On simulation of above Simulink model a sinusoid of 5 k hz frequency and approximate peak to peak of 5v generated as per implementation done using MATLAB simulink Model as shown in fig:2 in section IV by using Recursive Difference Equation Based Model.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 238 VI. CONCLUSION: The recursive oscillator has good frequency stability, but the essential circuit has high output distortion. Nonlinear feedback offers the simplest performance over the mid- and upper-frequency ranges. The decreasing cost of digital devices and components has reduced the popularity analog oscillators. The hitch is that the low amplitude, which may be increased using a further gain stage, but with the penalty of greatly reduced bandwidth VII. REFERENCES 1. Archer, Stephen T., and Benjamin D. Pless. "Stimulation signal generator for an implantable device." U.S. Patent No. 6,690,974. 10 Feb. 2004. 2. Jefferson, William T. "Digital sine wave generator." U.S. Patent No. 3,657,657. 18 Apr. 1972. 3. Kleijn, W. Bastiaan. "Encoding speech using prototype waveforms." IEEE transactions on speech and audio processing 1.4 (1993): 386-399. 4. Al-Ibrahim, M. M. "A simple recursive digital sinusoidal oscillator with uniform frequency spacing." ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No. 01CH37196). Vol. 2. IEEE, 2001. 5. Fukuda, Shoji, and Takehito Yoda. "A novel current-tracking method for active filters based on a sinusoidal internal model [for PWM invertors]." IEEE transactions on industry applications 37.3 (2001): 888-895. 6. Hiasat, Ahmad A., and Abedulah M. Al-Khateeb. "New high-resolution digital sinusoidal oscillator structure with extremely low frequency and sensitivity." international Journal of Electronics 86.3 (1999): 287-296. 7. Fliege, Norbert J., and Jörg Wintermantel. "Complex digital oscillators and FSK modulators." IEEE Transactions on signal processing 40.2 (1992): 333-342. 8. Lagadec, Roger, and Henry O. Kunz. "Process and apparatus for translating the sampling rate of a sampling sequence." U.S. Patent No. 4,748,578. 31 May 1988. 9. Barton, Paul I., and Constantinos C. Pantelides. "Modeling of combined discrete/continuousprocesses." AIChE journal 40.6 (1994): 966-979. 10. Hansen, Per Christian. "Numerical tools for analysis and solution of Fredholm integral equations of the first kind." Inverse problems 8.6 (1992): 849. 11. Arabi, Karim, and Bozena Kaminska. "Oscillation- test methodology for low-cost testing of active analog filters." IEEE transactions on Instrumentation and Measurement 48.4 (1999): 798-806.