Knowledge-Based Space-Time Adaptive Processing

This paper presents a novel concept for knowledge-based control of space-time adaptive processing. Firstly use a-prior knowledge to pre-adaptive, and then use non-homogeneity detector (NHD) to distinguish homogeneous range cells and non-homogenous ones. Secondly respectively use statistical algorithm and two-stage hybrid approach or other non-statistical approach to process homogeneous range cells and non-homogeneous range cells, to detect and track target. Lastly Mountaintop data simulation results show that this knowledge-based space-time adaptive processing approach significantly enhances the processing performance for airborne surveillance application in practical complex environment.