Knowledge-aided covariance estimate via geometric mean for adaptive detection

This paper deals with the covariance estimation and its application in radar signal processing when the number of the secondary data is limited. We model the covariance estimation as a color loading version and use three different geometric means to derive three kinds of knowledge-aided (KA) covariance estimators, namely, KA Euclid (KA-E) metric estimator, KA Power-Euclid (KA-PE) metric estimator, and KA Log-Euclid (KA-LogE) metric estimator....