Title :
Combined Multistatic Adaptive Pulse Compression and Adaptive Beamforming for Shared-Spectrum Radar
Author :
Gerlach, Karl ; Shackelford, Aaron K. ; Blunt, Shannon D.
Author_Institution :
U.S. Naval Res. Lab., Washington, DC
fDate :
6/1/2007 12:00:00 AM
Abstract :
The recently proposed Multistatic Adaptive Pulse Compression (MAPC) algorithm has been shown to successfully suppress both range sidelobes and interference from multiple radars operating in the same spectrum, thus enabling shared-spectrum multistatic radar. In this paper, we present a method to increase the overall information capacity of the MAPC algorithm by performing joint adaptive pulse compression in conjunction with adaptive beamforming. The addition of an adaptive beamforming stage to the MAPC algorithm enables further mutual interference suppression and thus better estimation performance such that the number of multistatic radars simultaneously operating in the same spectrum may be increased for the same mean-square estimation error. Analysis of the performance of the adaptive beamforming MAPC algorithm in a variety of scenarios is presented. In addition, Monte Carlo analyses on the number of shared-spectrum radars are also presented
Keywords :
Monte Carlo methods; array signal processing; interference suppression; mean square error methods; pulse compression; radar interference; radar signal processing; Monte Carlo analyses; adaptive beamforming; combined multistatic adaptive pulse compression; interference suppression; mean-square estimation error; multistatic radars; shared-spectrum radar; sidelobes suppression; Array signal processing; Communication industry; Interference suppression; Matched filters; Pulse compression methods; Radar applications; Radar scattering; Radar signal processing; Radio frequency; Signal processing algorithms; Adaptive processing; CLEAN; MIMO; adaptive matched filter; multistatic radar; pulse compression; radar; shared-spectrum radar; sidelobe cancellation; waveform diversity;
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
DOI :
10.1109/JSTSP.2007.897041