RLSTAP algorithm development tool for analysis of advanced signal processing techniques

Space time adaptive processing (STAP) has been identified as a key enabling technology for the detection of small targets in the presence of severe clutter and jamming. It is therefore important to develop simulation and analysis tools which accurately model advanced STAP architectures in realistic operational environments and to evaluate evolving system technologies prior to large development programs. This paper describes a user-friendly simulation capability, developed under the ARPA Mountaintop program, which can be used to assess the performance of evolving adaptive processing technologies for advanced airborne surveillance systems.