Abstract
For bistatic multiple-input multiple-output(MIMO)radar,this paper presents a robust and direction finding method in strong impulse noise environment.By means of a new lower order covariance,the method is effective in suppressing impulse noise and achieving superior direction finding performance using the maximum likelihood(ML)estimation method.A quantum equilibrium optimizer algorithm(QEOA)is devised to resolve the corresponding objective function for efficient and accurate direc-tion finding.The results of simulation reveal the capability of the presented method in success rate and root mean square error over existing direction-finding methods in different application situations,e.g.,locating coherent signal sources with very few snapshots in strong impulse noise.Other than that,the Cramér-Rao bound(CRB)under impulse noise environment has been drawn to test the capability of the presented method.
基金项目
National Natural Science Foundation of China(62073093)
Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province(LBH-Q19098)
Heilongjiang Provincial Natural Science Foundation of China(LH2020F017)
Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology()
维普
万方数据