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Adaptive clutter rejection by DOA tracking using unscented filters for atmospheric radars By Dr. C.Vijaykumar and Arpit Gupta Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar, Gujarat
System dynamics are non-linear functions of the system states.
Moving Source is modeled based on velocity model
System states for this case becomes
X (n) = [ X r Y r U r V r ] T = [ X/r Y/r U/r V/r] T
where X r and Y r are rectangular co-ordinates of the target
Range r = sqrt (X 2 + Y 2 ),
U = x-velocity, V= y-velocity, T = sampling time period
State Space Model cont .. v (n) and w(n) are independent zero mean Gaussian noise vector for State space model and Measurement model with vector size 4*1 and 1*1 respectively Corresponding Measurement model is given by Θ (n) = arctan[ y(n) / x(n) ] + w(n)
R. Rajagopal & P.R. Rao: "A Generalized Algorithm for DOA Estimation in Passive Sonar", IEE Proc. Part F, Vol. 150. No. 1 Feb 1993. pp. 12-20.
Simon J. Julier and J.K. Uhlman: “ Unscented filtering and nonlinear estimation ”, Proc. of the IEEE. Volume 92, Issue 3, Mar 2004 Page(s):401 – 422.
Kamio , K. , Nishimura, K. , and Sato, T. : “ Adaptive sidelobe control for clutter rejection of atmospheric radars ”, Proc. of 10th International Workshop on Technical and Scientific Aspects of MST Radar (MST10). Page(s) 4005-4012. SRef-ID: 1432-0576/ag/2004-22-4005 ANNALES - Volume 22, Number 11, 2004.