Joint estimation of carrier frequency and 2-D DOA for L-array system based on improved MWC

In view of the problems such as the huge amount of data generated by traditional Nyquist sampling and the complex structure of the existing array compression sampling system, this paper proposes an L-array compression sampling system based on improved Modulated Broadband Converter (MWC), and uses the combination method to realize the carrier frequency estimation of multiple sources with the same carrier frequency. At the same time, the matrix enhancement and matrix pencil two-dimensional(2-D) direction of arrival (DOA) estimation algorithm based on the system is proposed, which can directly use the combined compressed sampling data to achieve 2-D DOA estimation. The complexity of the proposed system is low, which is beneficial to the realization of hardware engineering, and the simulation experiment proves that the parameter estimation algorithm based on the system has good estimation performance.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1117/12.3037729
Primary Topic
Radar Systems and Signal Processing
Type
article
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article

Joint estimation of carrier frequency and 2-D DOA for L-array system based on improved MWC

Pei Li, Zhenheng Shen
Radar Systems and Signal Processing
article

Joint estimation of carrier frequency and 2-D DOA for L-array system based on improved MWC

Pei Li, Zhenheng Shen
article en

Abstract

In view of the problems such as the huge amount of data generated by traditional Nyquist sampling and the complex structure of the existing array compression sampling system, this paper proposes an L-array compression sampling system based on improved Modulated Broadband Converter (MWC), and uses the combination method to realize the carrier frequency estimation of multiple sources with the same carrier frequency. At the same time, the matrix enhancement and matrix pencil two-dimensional(2-D) direction of arrival (DOA) estimation algorithm based on the system is proposed, which can directly use the combined compressed sampling data to achieve 2-D DOA estimation. The complexity of the proposed system is low, which is beneficial to the realization of hardware engineering, and the simulation experiment proves that the parameter estimation algorithm based on the system has good estimation performance.

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