Title :
Range-dependence Issues in Multistatic STAP-based Radar
Author :
Neyt, Xavier ; Acheroy, Marc ; Verly, Jacques G.
Author_Institution :
Dept. of Electr. Eng., R. Mil. Acad., Brussels
Abstract :
Multisatic radar systems offer the potential to overcome some of the limitations of the monostatic or bistatic systems. In particular, the ability to build larger apertures allows to increase spatial accuracy. Space-time adaptive processing (STAP) is a method of choice in the context of slow-moving target detection. However, the statistics of signals from multistatic radars are typically range-dependent. This range-dependence leads to major difficulties in estimating the interference plus noise covariance matrix required to perform STAP In this paper, we present a method able to compensate for the range-dependence of the signal statistics and we show that this method achieves near-optimal performance
Keywords :
covariance matrices; radar detection; radar signal processing; space-time adaptive processing; statistics; interference plus noise covariance matrix; multistatic STAP-based radar; range-dependence issues; signal statistics; slow-moving target detection; space-time adaptive processing; Antenna arrays; Apertures; Clutter; Covariance matrix; Frequency; Military computing; Pollution measurement; Radar; Receiving antennas; Statistics;
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
DOI :
10.1109/SAM.2006.1706203