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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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. |
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ISSN: | 1097-5659 2375-5318 |
DOI: | 10.1109/RADAR.2007.374286 |