Adaptive Detection of Multichannel Signals Exploiting Persymmetry

Adaptive Detection of Multichannel Signals Exploiting Persymmetry

Hao, Chengpeng; Liu, Weijian; Liu, Jun; Orlando, Danilo

Taylor & Francis Ltd

11/2024

296

Mole

9781032374277

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Basic Concept 2. Output SINR Analysis 3. Invariance Issues under Persymmetry 4. Persymmetric Adaptive Subspace Detector 5. Persymmetric Detectors with Enhanced Rejection Capabilities 6. Distributed Target Detection in Homogeneous Environments 7. Robust Detection in Homogeneous Environments 8. Adaptive Detection With Unknown Steering Vector 9. Adaptive Detection in Interference 10. Adaptive Detection in Partially Homogeneous Environments 11. Robust Detection in Partially Homogeneous Environments 12. Joint Exploitation of Persymmetry and Symmetric Spectrum 13. Adaptive Detection After Covariance Matrix Classification 14. MIMO Radar Target Detection
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radar;detector;Signal Processing;Sensor;CFAR Property;Rao Test;GLRT;CFAR;Noise Covariance Matrix;Steering Vector;Wald Test;Cut;Adaptive Detector;Mismatched Case;Nuisance Parameter Vector;FIM;Subspace Model;Coherent Processing Interval;Covariance Matrix;PHE;AMF;Noise Covariance Matrix Estimate;High Probability Signals;SINR;Target Detection Problem;Detection Threshold;Unknown Covariance Matrix;Covariance Matrix Structure;MIMO Radar