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23 May 2022 Computationally efficient AML estimation for coherent FDA radar covariance matrix
Liu Wang, Wen-Qin Wang
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Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122541G (2022) https://doi.org/10.1117/12.2638578
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China
Abstract
Frequency diverse array imposes a different small frequency increment on each element to provide many promising applications. As a new radar system, FDA radar covariance matrix estimation plays an important role in target parameter estimation, interference suppression and adaptive processing. Firstly, we formulate the structure of the FDA radar covariance matrix with Hermitian and Toeplitz. Then, we present an asymptotic maximum likelihood covariance matrix estimation for the FDA radar with computationally efficient. Numerical results show that compared with sample covariance matrix AML enhances the estimation performances of the FDA radar covariance matrix.
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Liu Wang and Wen-Qin Wang "Computationally efficient AML estimation for coherent FDA radar covariance matrix", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122541G (23 May 2022); https://doi.org/10.1117/12.2638578
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KEYWORDS
Radar
Particle filters
Signal to noise ratio
Receivers
Detection and tracking algorithms
Signal processing
Transmitters
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