Self-Organizing Adaptive Radar Space-Time Adaptive Processing

͟Self-͟Organizing ͟Adaptive ͟Radar ͟Space-͟Time ͟Adaptive ͟Processing (SOAR-STAP) is discussed here. Some investigations have been done on applying SOAR concept to Σ Δ-STA and D 3 LS-STAP. The advantages include computation load, sample support, converge rate, etc. SOAR-STAP converges faster than tr...

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Bibliographische Detailangaben
1. Verfasser: Shengchun Zhao
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:͟Self-͟Organizing ͟Adaptive ͟Radar ͟Space-͟Time ͟Adaptive ͟Processing (SOAR-STAP) is discussed here. Some investigations have been done on applying SOAR concept to Σ Δ-STA and D 3 LS-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.
ISSN:1097-5659
2375-5318
DOI:10.1109/RADAR.2007.374286