DocumentCode :
2885287
Title :
Self-Organizing Adaptive Radar Space-Time Adaptive Processing
Author :
Zhao, Shengchun
Author_Institution :
Syracuse Univ., Syracuse
fYear :
2007
fDate :
17-20 April 2007
Firstpage :
596
Lastpage :
601
Abstract :
Self-Organizing Adaptive Radar Space-Time Adaptive Processing (SOAR-STAP) is discussed here. Some investigations have been done on applying SOAR concept to Sigma Delta -STA and D3LS-STAP. The advantages include computation load, sample support, converge rate, etc. SOAR-STAP converges faster than traditional STAP. For same computation time, the response pattern of SOAR-STAP is better than that of traditional STAP. In future, SOAR-STAP can be applied to conformal arrays, sensor robots, etc. The sensors of arrays may be developed independently and deployed incrementally, and then self-organize to form a large array with ability to self-calibrate and correct errors.
Keywords :
adaptive radar; array signal processing; radar signal processing; space-time adaptive processing; SOAR concept; SOAR-STAP; array sensors; radar signal processing; self-organizing adaptive radar space-time adaptive processing; Adaptive arrays; Clutter; Covariance matrix; Error correction; Filters; Jamming; Orbital robotics; Robot sensing systems; Sensor arrays; Spaceborne radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2007 IEEE
Conference_Location :
Boston, MA
ISSN :
1097-5659
Print_ISBN :
1-4244-0284-0
Electronic_ISBN :
1097-5659
Type :
conf
DOI :
10.1109/RADAR.2007.374286
Filename :
4250380
Link To Document :
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