ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Adaptive Clutter Suppression Research Based on Priori Knowledge and Its Accuracy Evaluation
Received date: 2012-05-02
Revised date: 2013-01-23
Online published: 2013-02-02
Supported by
National Natural Science Foundation of China (61201379, 61179036); Natural Science Foundation of Anhui Province (1208085QF103)
To overcome the limitation on the number of homogeneous samples in heterogeneous clutter environments, an algorithm is proposed for suppressing clutter based on a priori knowledge and its accuracy evaluation. First, the spectral norm of the priori clutter covariance matrix, which is whitened by the true clutter covariance matrix and then subtracted by an identity matrix, is computed as a measure for the accuracy of the priori knowledge. Given that the true clutter covariance matrix is unknown, a method for adaptively estimating the spectral norm is proposed. Then with the evaluation result of the accuracy of the priori knowledge, a maximum likelihood estimation of the true clutter covariance matrix is obtained under a knowledge constraint. Finally, after constructing the clutter model of the coherent-pulse radar and space time adaptive radar respectively, the proposed algorithm is analyzed through numerical simulation. Simulation results show that the performance of the proposed algorithm is superior to the method in which the adaptive weight is formulated either by the sample covariance matrix or the priori covariance matrix.
TANG Bo , ZHANG Yu , LI Ke . Adaptive Clutter Suppression Research Based on Priori Knowledge and Its Accuracy Evaluation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(5) : 1174 -1180 . DOI: 10.7527/S1000-6893.2013.0078
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