Research Article
Ground Clutter Suppression Method for Three-Coordinate Air Search Radar Based on Adaptive Processing in Beam Domain
@INPROCEEDINGS{10.1007/978-3-030-93398-2_67, author={Lei Yu and Yueyu Guo and Jiahao Liu and Yinsheng Wei}, title={Ground Clutter Suppression Method for Three-Coordinate Air Search Radar Based on Adaptive Processing in Beam Domain}, proceedings={Wireless and Satellite Systems. 12th EAI International Conference, WiSATS 2021, Virtual Event, China, July 31 -- August 2, 2021, Proceedings}, proceedings_a={WISATS}, year={2022}, month={1}, keywords={Adaptive processing MVDR Clutter covariance matrix Target steering vector}, doi={10.1007/978-3-030-93398-2_67} }- Lei Yu
Yueyu Guo
Jiahao Liu
Yinsheng Wei
Year: 2022
Ground Clutter Suppression Method for Three-Coordinate Air Search Radar Based on Adaptive Processing in Beam Domain
WISATS
Springer
DOI: 10.1007/978-3-030-93398-2_67
Abstract
A novel ground clutter suppression method is proposed for the three-coordinate air search radar. According to the theory of statistical optimal beamforming, the optimal solution is given in the background of clutter and noise. The minimum variance distortionless response (MVDR) algorithm is used to process the received signals. When estimating the covariance matrix, in addition to the traditional selection of samples in the range domain, the samples in different scans can be selected based on cognition. In the case that the received data is the beam domain data and there is no information about the geometric configuration of the array, the beam domain response of the obvious target can be used as the target steering vector. Then the optimal weighted vector can be calculated to filter the received data. The processing results of the real data of the three-coordinate radar show the effectiveness of the proposed method in ground clutter suppression.
