CFAR Knowledge-Aided Radar Detection With Heterogeneous Samples

In this letter, we consider the problem of constant false alarm rate (CFAR) detection in heterogeneous scenarios. We assume that the covariance matrices of the training samples are different from that of the cell under test and employ prior statistical knowledge to describe the degree of heterogenei...

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Veröffentlicht in:	IEEE signal processing letters 2017-05, Vol.24 (5), p.693-697
Hauptverfasser:	Wang, Yikai, Xia, Wei, He, Zishu
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymptotic performance Clutter constant false alarm rate (CFAR) detection Covariance matrices Detectors heterogeneous clutter knowledge-aided radar detection Mathematical model Maximum likelihood estimation Radar detection Training
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