STAP Processing Monostatic and Bistatic MCARM Data

摘要

Monostatic airborne radars have a problem detecting low and slow flying airborne targets or slow moving ground targets because of the severe ground clutter. Space Time Adaptive Processing (STAP) algorithms have been found to be effective in suppressing the ground clutter and revealing the targets of interest. Newer surveillance systems, both airborne and space based, are likely to be bistatic, i.e., the transmitter and the receiver are to be housed in separate vehicles. Specifically, the transmitter is to be housed in an AWACS type aircraft or a satellite and the receiver will probably be housed in a UAV. In either case, one is faced with the problem of the same ground clutter as in the monostatic case and thus there is need for bistatic clutter suppression algorithms. In 1995-1996, Air Force Research laboratory, Rome Research Site (AFRL-RRS, formerly Rome Laboratory), collected a large amount of multichannel, airborne radar measurement (MCARM) data, to help verify the efficacy of STAP in both monostatic and bistatic scenarios and if necessary, to develop newer algorithms for the bistatic case. This report documents the efforts by this author to apply and compare the application of STAP algorithms to several acquisitions from both monostatic and bistatic MCARM flights.