Knowledge-aided covariance estimation and radar adaptive detection
- 1 January 2021
- journal article
- research article
- Published by SPIE-Intl Soc Optical Eng in Journal of Applied Remote Sensing
- Vol. 15 (01), 016503
- https://doi.org/10.1117/1.jrs.15.016503
Abstract
We address the covariance matrix estimation problem for radar adaptive detection in a non-Gaussian clutter environment. We first propose an estimation method based on α log-determinant divergence, which estimates the true covariance accurately by solving the geometric mean of the sample covariance matrix (SCM). Since the estimation performance would be seriously degraded when the number of secondary data is insufficient, a knowledge-aided method is then proposed. Under the similarity constraint between the a priori covariance and the true one, a closed form expression is derived by minimizing the α log-determinant divergence between the real covariance and the SCM. Simulation results verify the accuracy of the proposed algorithms in covariance estimation and superiority in target adaptive detection.Keywords
Funding Information
- National Natural Science Foundation of China (61401509)
This publication has 21 references indexed in Scilit:
- Matrix CFAR detectors based on symmetrized Kullback–Leibler and total Kullback–Leibler divergencesDigital Signal Processing, 2017
- Geometric means and medians with applications to target detectionIET Signal Processing, 2017
- Geometric barycenters for covariance estimation in compound‐Gaussian clutterIET Radar, Sonar & Navigation, 2017
- Coherent radar processing in sea clutter environments, part 2: adaptive normalised matched filter versus adaptive matched filter performanceIEEE Transactions on Aerospace and Electronic Systems, 2016
- Shape-parameter-dependent coherent radar target detection in K-distributed clutterIEEE Transactions on Aerospace and Electronic Systems, 2016
- Close form maximum likelihood covariance matrix estimation under a knowledge‐aided constraintIET Radar, Sonar & Navigation, 2013
- Shrinkage Algorithms for MMSE Covariance EstimationIEEE Transactions on Signal Processing, 2010
- Knowledge-aided covariance matrix estimation: a MAXDET approachIET Radar, Sonar & Navigation, 2009
- On Using a priori Knowledge in Space-Time Adaptive ProcessingIEEE Transactions on Signal Processing, 2008
- Demonstration of knowledge-aided space-time adaptive processing using measured airborne dataIEE Proceedings - Radar, Sonar and Navigation, 2006