Frequency Diverse Coprime MIMO radar for Angle-Range Estimation
Pages 117 - 121
Abstract
Coprime arrays are able to utilize two subarrays to construct a difference coarray to obtain more degrees of freedom (DOF). A novel frequency diverse coprime array (FDCA) is developed for estimating the angle-range for FDA-multiple input multiple output (MIMO) radar. In addition, a tensor-based joint angle-range estimation algorithm is developed, which avoids the 2-dimensional spectral peak searching and substantially reduces the computational complexity. The FDCA is composed of two FDA subarrays, which requires only <Formula format="inline"><TexMath><?TeX $O\{ M + N\} $ ?></TexMath><File name="a00--inline1" type="gif"/></Formula> physical antennas to obtain <Formula format="inline"><TexMath><?TeX $O\{ MN\} $ ?></TexMath><File name="a00--inline2" type="gif"/></Formula> degrees of freedom (DOFs) compared to conventional FDA-MIMO radars. In this paper, we propose a tensor-based reduced-dimension multiple signal classification (RD-MUSIC) algorithm, which not only can obtain accurate parameter estimation in FDCA-MIMO radar, but also requires low computation. Simulation experiments verify the advantages of FDCA-MIMO radar and the developed algorithm.
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Published In
April 2024
379 pages
ISBN:9798400709777
DOI:10.1145/3653644
Copyright © 2024 ACM.
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Published: 20 September 2024
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- Research-article
- Research
- Refereed limited
Funding Sources
- Natural Science Foundation of Hainan Province
- Key Research and Development Project of Hainan Province
- the National Natural Science Foundation of China
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FAIML 2024
FAIML 2024: 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning
April 26 - 28, 2024
Yichang, China
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