A Cauchy score DOA estimator for monostatic MIMO radar in impulsive noise environment

It is interesting to determine the direction of arrival (DOA) of signals in the presence of impulsive noise for monostatic multiple-input multiple-output (MIMO) radar. Inspired by the robust statistics property of M-estimation theory and maximum likelihood estimation theory, a Cauchy score cost func...

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Bibliographic Details
Published inInternational journal of electronics Vol. 108; no. 4; pp. 543 - 557
Main Authors Xu, Letao, Wang, Shuman, Pan, Xiaoyi
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 03.04.2021
Taylor & Francis LLC
Subjects
Algorithms
Cauchy score function
Cost function
Direction of arrival
DOA estimation
ESPRIT
impulsive noise
Maximum likelihood estimation
monostatic MIMO
Optimization
Outliers (statistics)
Radar data
Robustness
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Summary:It is interesting to determine the direction of arrival (DOA) of signals in the presence of impulsive noise for monostatic multiple-input multiple-output (MIMO) radar. Inspired by the robust statistics property of M-estimation theory and maximum likelihood estimation theory, a Cauchy score cost function is proposed to suppress the outliers, leading to robust DOA estimation. Firstly, the Cauchy score cost function for residual fitting error matrix of the radar data is derived. Then, an alternating convex optimisation algorithm based on the complex-valued Newton gradient descent is tailored to acquire an efficient solution for the Cauchy score cost function. Finally, using the signal subspace matrix obtained by the alternating convex optimisation algorithm, ESPRIT algorithm is adopted to provide a closed-form DOA estimations. Simulation results are presented to demonstrate the effectiveness of the proposed method.
ISSN:0020-7217
1362-3060
DOI:10.1080/00207217.2020.1793403