Title :
Multichannel matched transmit-receiver design in presence of signal-dependent interference and noise
Author :
Pillai, S.U. ; Oh, H.S. ; Guerci, J.R.
Author_Institution :
Dept. of Electr. Eng., Polytech. Univ. of Brooklyn, NY, USA
Abstract :
In presence of targets that respond to transmitter diversity such as polarization, to maximize the output SINR, it becomes necessary to jointly optimize the transmit signal vector and the receiver bank of filters in presence of signal dependent interference and noise. This multichannel matched transmitter-receiver structure is superior to its scalar counterpart, since several aspects of the signal dependent interference spectrum are “brought to light” in this case. The cross-interference spectral matrices in fact contain much more information compared to the single channel case, and despite the highly nonlinear nature of the problem, it is possible to derive a closed form solution for the optimum matched receiver filter bank. In addition, an iterative algorithm that appears to converge for all SINR is proposed to determine the optimum transmit signal vector
Keywords :
array signal processing; channel bank filters; clutter; interference (signal); iterative methods; matched filters; optimisation; radar theory; spectral analysis; white noise; closed form solution; cross-interference spectral matrices; iterative algorithm; multichannel matched transmit-receiver design; noise; optimum matched receiver filter bank; output SINR; polarization; radar; receiver bank of filters; signal dependent interference; signal-dependent interference; transmit signal vector; transmitter diversity; transmitter-receiver structure; Closed-form solution; Interference; Iterative algorithms; Layout; Polarization; Radar clutter; Sensor arrays; Signal design; Signal to noise ratio; Transmitters;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
DOI :
10.1109/SAM.2000.878035