A modified direct data domain method in spacetime adaptive processing

Traditionally space-time adaptive processing(STAP) approaches have been implemented to detect target in airborne radar systems. These approaches typically assume a wide sense stationary environment and utilize data in neighbor range cells to estimate the statistics of cell under test. Unfortunately the airborne radar environment can be highly non-stationary, which could drastically impact statistical STAP performance. Various approaches have been investigated to address this problem. One approach is direct data domain (D3LS) method. This paper does research an modified method based on D3LS approach in spacetime adaptive processing. On a snapshot-by-snapshot basis, this algorithm can restrain jamming and clutter effectively while keep the signal of interest. Real weights connected with the space-time data reduce the computational complexity. By implementing multiple space-time constraints, system gain is maintained on the signal of interest when the signal arrivals slightly offset in angle, Doppler, or both. Simulation results show the effectiveness of this method.