A new parameters estimation method for near-field cyclostationary sources

Binbin Yu; Liguo Wang

doi:10.1117/12.2668028

20 April 2023 A new parameters estimation method for near-field cyclostationary sources

Binbin Yu, Liguo Wang

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260207 (2023) https://doi.org/10.1117/12.2668028
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

An improved MUSIC method is extended to solve the parameters estimation of cyclostationary sources. The method constructs two cyclic moment matrices from the data received by the centro-symmetric uniform linear array, and uses the propagation operator to estimate the noise subspace, then estimates the parameters by the root music method. In contrast with the traditional ROOT-MUSIC, although the accuracy is slightly worse, it has low computing complexity. Furthermore, the method is applicable to the case of additive Gaussian noise environment, whether white noise or color noise.

Citation Download Citation

Binbin Yu and Liguo Wang "A new parameters estimation method for near-field cyclostationary sources", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260207 (20 April 2023); https://doi.org/10.1117/12.2668028

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