Abstract:

A moving ground target detection method based on space-time adaptive processing (STAP) is studied in a heterogeneous environment. By extending the amplitude and phase estimation of a sinusoid (APES) method from the space domain to the space-time processing in the direct data domain, this approach improves the accuracy of target amplitude estimation and the output signal-to-clutter-and-noise ratio (SCNR), and overcomes shortcomings of traditional methods such as insensitivity to weak targets and high false alarm probability. Simulation results demonstrate validity of this improved method.

Key words: heterogeneous, space-time adaptive processing (STAP), target detection, amplitude and phase estimation
of a sinusoid（APES）