Title :
Polarization optimization for scattering estimation in heavy clutter
Author :
Xiao, Jin-Jun ; Nehorai, Arye
Author_Institution :
Dept. of Electr. & Syst. Eng., Washington Univ., St. Louis, MO
fDate :
March 31 2008-April 4 2008
Abstract :
Controlling the polarization information in transmitted waveforms enables improving the performance of radar systems. We consider the design of optimal polarization for the estimation of target scattering embedded in heavy clutter. The goal is to minimize the mean squared error of the scattering estimation subject to an average radar pulse power constraint. We show that such a problem is equivalent to the optimal design of a radar sensing matrix that contains the polarization information. We formulate the optimal design as a nonlinear optimization problem which can be recast it in a convex form and is thus efficiently solvable by semi-definite programming (SDP). We compare the sensing performance of the optimally selected polarization over the conventional approaches. Our numerical results indicate that a significant amount of power gain is achieved in the target scattering estimation through such an optimal design.
Keywords :
S-matrix theory; mean square error methods; minimisation; nonlinear programming; radar clutter; radar polarimetry; radar target recognition; mean squared error minimization; nonlinear optimization problem; optimal radar sensing matrix design; polarization optimization; radar clutter; radar pulse power constraint; scattering matrix; semidefinite programming; target scattering estimation; Adaptive estimation; Control systems; Design optimization; Polarization; Radar clutter; Radar imaging; Radar polarimetry; Radar scattering; Switches; Systems engineering and theory; Radar polarimetry; adaptive estimation; optimization methods; scattering matrices;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4517899