Subaperture Keystone Transform Matched Filtering Algorithm and Its Application for Air Moving Target Detection in an SBEWR System

Long-time coherent integration is an effective approach to improve detection performance for weak air moving targets (AMTs). The range position variation and azimuth Doppler will easily exceed gate resolution in a long observation time, resulting severe degradation, especially high maneuverability target. Besides, the low computational complexity ability are, most of times, contradiction requirements by using existing long-time algorithms. To overcome above constraints, novel subaperture Keystone transform matched filtering (SAKTMF) method developed this paper based on conventional hybrid algorithm, which can realize both within among subapertures, effectively improving Furthermore, proposed SAKTMF applied AMT space-borne early warning radar (SBEWR), considers serious extended clutter, migration, migration problems simultaneously. Simulation experiments processing results show that provide improved compared with methods.