Title :
Knowledge-based space-time adaptive processing
Author :
Antonik, Paul ; Schuman, Harvey ; Li, Ping ; Melvin, William ; Wicks, Michael
Author_Institution :
Kaman Sci. Corp., Colorado Springs, CO, USA
Abstract :
This paper describes an innovative concept for knowledge-based control of space-time adaptive processing (STAP). The knowledge-based approach holds potential for significant performance improvements over classical STAP processing in non-homogeneous 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 filters; adaptive signal processing; knowledge based systems; radar computing; radar signal processing; search radar; STAP; STAP algorithms; knowledge based control; knowledge based space-time adaptive processing; nonhomogeneous environments; parameter selection; performance improvements; preadaptive filtering; secondary data cells; surveillance radar; Adaptive control; Clutter; Communication system control; Detection algorithms; Filtering algorithms; Interference; Programmable control; Radar tracking; Road transportation; Testing;
Conference_Titel :
Radar Conference, 1997., IEEE National
Conference_Location :
Syracuse, NY
Print_ISBN :
0-7803-3731-X
DOI :
10.1109/NRC.1997.588338
