Reduced-dimensional Root Finding Based Direction of Arrival Estimation for Coprime Array

LI Jianfeng; SHEN Mingwei; JIANG Defu

doi:10.11999/JEIT171087

Volume 40 Issue 8

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(8): 1853-1859

LI Jianfeng, SHEN Mingwei, JIANG Defu . Reduced-dimensional Root Finding Based Direction of Arrival Estimation for Coprime Array[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1853-1859. doi: 10.11999/JEIT171087

Citation:

LI Jianfeng, SHEN Mingwei, JIANG Defu . Reduced-dimensional Root Finding Based Direction of Arrival Estimation for Coprime Array[J]. Journal of Electronics & Information Technology, 2018, 40(8): 1853-1859. doi: 10.11999/JEIT171087

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Reduced-dimensional Root Finding Based Direction of Arrival Estimation for Coprime Array

doi: 10.11999/JEIT171087

LI Jianfeng^{*沈明威蒋德富},
SHEN Mingwei,
JIANG Defu

Funds:

The National Natural Science Foundation of China (61601167, 61771182), The Fundamental Research Funds for the Central Universities (2018B15914)

Received Date: 2017-11-20
Rev Recd Date: 2018-04-18
Publish Date: 2018-08-19

Abstract

Abstract

A Direction of Arrival (DOA) estimation method based on reduced-dimensional polynomial root finding technique is proposed for coprime array. Coprime array has two uniform linear subarrays with coprime inter-element spacing and antenna number. Based on the cross covariance matrix of the subarrays, the proposed method exploits the rotational invariance within the longer subarray to extend the aperture of the shorter one. After constructing the noise subspace via matrix partition and reducing the two dimensional parameter estimation problem into one dimensional root finding, automatically paired two dimensional parameters can be estimated. Finally, unambiguous DOA is determined from the intersections of the two groups of estimations, which are generated from the previously obtained two dimensional parameters. In contrast to combined MUltiple SIgnal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) for coprime array, the proposed algorithm achieves improved DOA estimation results and increased identifiable source number with reduced computation complexity. Furthermore, it is robust to spatial color noise. Multiple simulation results verify the effectiveness of the proposed approach.
- DOA estimation,
- Coprime array,
- Reduced-dimensional root finding,
- Aperture extension

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References(26)

References

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