Title :
Maximum-likelihood based range-dependence compensation for coherent multistatic STAP radar
Author :
Neyt, Xavier ; Acheroy, Marc ; Verly, Jacques G.
Author_Institution :
R. Mil. Acad., Brussels
Abstract :
We study the performance of space-time adaptive processing (STAP) applied to coherent multistatic radar. The radars we consider are passive (receive only) but are synchronized in order to allow coherent processing of the data among the different radars. One of the major benefit of multistatism is that the full velocity vectors of the targets can be measured. Furthermore, we study the feasibility of estimating the clutter covariance matrix, required to compute the STAP filter. We show that range-dependence effects cause the usual sample matrix inversion (SMI) scheme to fail and we propose a method able to cope with arbitrary multistatic geometries.
Keywords :
adaptive filters; adaptive radar; covariance matrices; matrix inversion; maximum likelihood estimation; passive radar; radar clutter; radar signal processing; space-time adaptive processing; synchronisation; adaptive filter; clutter covariance matrix; coherent multistatic STAP radar; geometry; maximum-likelihood based range-dependence compensation; passive radar; sample matrix inversion; space-time adaptive processing; synchronization; Bistatic radar; Clutter; Computer science; Covariance matrix; Matched filters; Maximum likelihood estimation; Military computing; Passive radar; Radar antennas; Spaceborne radar;
Conference_Titel :
Radar Conference, 2007 IEEE
Conference_Location :
Boston, MA
Print_ISBN :
1-4244-0284-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2007.374317