TY - GEN
T1 - Maximum-likelihood based range-dependence compensation for coherent multistatic STAP radar
AU - Neyt, Xavier
AU - Acheroy, Marc
AU - Verly, Jacques G.
PY - 2007
Y1 - 2007
N2 - 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 Alter. 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.
AB - 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 Alter. 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.
UR - https://www.scopus.com/pages/publications/34548838277
U2 - 10.1109/RADAR.2007.374317
DO - 10.1109/RADAR.2007.374317
M3 - Conference contribution
AN - SCOPUS:34548838277
SN - 1424402840
SN - 9781424402847
T3 - IEEE National Radar Conference - Proceedings
SP - 772
EP - 777
BT - IEEE 2007 Radar Conference
T2 - IEEE 2007 Radar Conference
Y2 - 17 April 2007 through 20 April 2007
ER -