Title :
Knowledge-based space-time adaptive processing for airborne early warning radar
Author :
Melvin, William ; Wicks, Michael ; Antonik, Paul ; Salama, Yassir ; Li, Ping ; Schuman, Harvey
fDate :
4/1/1998 12:00:00 AM
Abstract :
This paper describes an innovative concept for knowledge-based control of space-time adaptive processing (STAP) for airborne early warning radar. The knowledge-based approach holds potential for significant performance improvements over classical STAP processing in nonhomogeneous environments by taking advantage of a priori knowledge. Under this approach, knowledge-based control is used to direct pre-adaptive filtering, and to carefully select STAP algorithms, parameters, and secondary data cells
Keywords :
adaptive radar; aerospace control; aerospace expert systems; airborne radar; military computing; radar computing; radar signal processing; radar tracking; target tracking; CFAR processing; a priori knowledge; airborne early warning radar; algorithm selection; knowledge-based control; knowledge-based space-time adaptive processing; nonhomogeneous environments; performance improvements; pre-adaptive filtering; reference cell selection; secondary data cells; Adaptive control; Airborne radar; Clutter; Communication system traffic control; Interference; Programmable control; Road transportation; Spaceborne radar; Testing; Training data;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
