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DOA Estimation With New Compensation Sparse Extension MIMO Radar

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Abstract

The sparse Multiple-Input–Multiple-Output radar has large array element spacing, which has a great significance for reducing the mutual coupling effects. In this paper, the authors propose a compensation sparse arrays with flexible inter-element spacing (CSA-FIS). Compared with the sparse arrays with flexible inter-element spacing (SA-FIS), the CSA-FIS improves the situation in that the number of virtual sensors significantly decreases when the inter-element spacing of two sub-array is not coprime. Under the guarantee of lower mutual coupling effects, the system degrees of freedom (DOFs) and the number of consecutive virtual sensors are also improved. Meanwhile, a pre-processing DFT-compressed sensing (D-CS) algorithm is proposed, with the purpose to solve the problem that the traditional CS algorithm has a high calculation cost when all non-zero parameters must be estimated. Numerical simulations demonstrate the superiority of the CSA-FIS in terms of DOFs and estimation accuracy when compared with SA-FIS. Moreover, compared with the traditional CS algorithm, the D-CS has lower computational complexity.

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Data Availability Statement

The position of the virtual sensor in this paper is the data generated by the simulation. Array location data to support the results of this study can be obtained from the corresponding authors upon request.

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Funding

This work was supported by the China Postdoctoral Science Foundation under Grant no. 2019M662257, the Aeronautical Science Foundation of China under Grant no.201901096002 and  the National Science Foundation in Shaanxi Province of China no.2021JM-222.

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Authors and Affiliations

  1. Air Force Engineering University, Xi’an, 710051, China

    Geng Chen, Bo Tian, Jian Gong & Cunqian Feng

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  1. Geng Chen
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  2. Bo Tian
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  3. Jian Gong
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  4. Cunqian Feng
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Contributions

GC and JG designed the array structure and algorithms scheme. GC performed simulation experiments on the designed array structure and the proposed algorithm. GC, CW and JG contributed to the drafting and revision of the manuscript. The final manuscript read and approved by all authors.

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Correspondence to Jian Gong.

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Chen, G., Tian, B., Gong, J. et al. DOA Estimation With New Compensation Sparse Extension MIMO Radar. Wireless Pers Commun 122, 23–40 (2022). https://doi.org/10.1007/s11277-021-08874-6

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