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面向单基地MIMO雷达的展开增广互质阵设计:低互耦和高自由度

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  • 南京航空航天大学 电子信息工程学院, 江苏 南京 210016

收稿日期: 2022-02-22

  网络出版日期: 2023-11-30

基金资助

国家自然科学基金(No.61971217,No.61971218,No.61631020);江苏省科学基金(No.BK20200444);江苏省重点研究发展项目(No.2020YFB1807602)资助

Unfolded Augmented Co-prime Array for MIMO Radar: Low Mutual Coupling and High Degree of Freedom

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  • Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

Received date: 2022-02-22

  Online published: 2023-11-30

摘要

针对现有多输入多输出(multiple input multiple output,MIMO)雷达互耦率高、自由度低的问题,提出了一种低互耦率、高自由度的展开增广互质阵MIMO雷达设计方式。首先在收发两端分别部署展开增广互质阵列。然后通过引入稀疏扩展因子,使展开增广互质阵列子阵的阵元间隔得到扩展,并得到所提出的展开增广互质MIMO雷达阵元位置的闭式表达式。随后通过广义和差联合阵列的概念,详细推导出了雷达的连续自由度和总自由度的闭式解。最后通过基于空间平滑的多重信号分类方法得到波达方向(direction of arrival,DOA)估计。与其他互质MIMO雷达结构相比,所提出的展开增广互质MIMO雷达能够获得更多的连续自由度并具有更低的互耦率。仿真结果验证了所提出的雷达结构在DOA估计方面的有效性和优势。

本文引用格式

郝鸿浩, 赖欣, 韩盛欣来, 张小飞 . 面向单基地MIMO雷达的展开增广互质阵设计:低互耦和高自由度[J]. 应用科学学报, 2023 , 41(6) : 911 -925 . DOI: 10.3969/j.issn.0255-8297.2023.06.001

Abstract

Aiming at the problem of high mutual coupling rate and low degree of freedom (DOF) of existing multiple input multiple output (MIMO) radar, an unfolded augmented co-prime MIMO radar is proposed in this paper. First, the unfolded augmented co-prime array is deployed in both transmitter and receiver. Then, by introducing the sparse expansion factor, the inter-element spacing of different subarrays in unfolded augmented co-prime array is extended, and the closed-form expression of the position set for the unfolded augmented co-prime MIMO radar is obtained. Then, the generalized sum and different co-array (GSDC) concept is used to derive the closed-form solutions of continuous DOF and total DOF. Finally, the direction of arrival (DOA) is obtained by spatial smoothing multiple signal classification (MUSIC) method. Compared with other co-prime MIMO radar structures, the proposed MIMO radar offers higher DOF and lower mutual rate. Simulation results verify the effectiveness and advantages of the proposed radar structure in DOA estimation.

参考文献

[1] 周围, 王强, 唐俊, 等. 单基地展开互质阵列MIMO雷达DOA估计[J]. 南京邮电大学学报(自然科学版), 2019, 39(6):1-8. Zhou W, Wang Q, Tang J, et al. DOA estimation for monostatic MIMO radar based on unfolded coprime array[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science), 2019, 39(6):1-8. (in Chinese)
[2] Shi J P, Hu G P, Zhang X F, et al. Generalized co-prime MIMO radar for DOA estimation with enhanced degrees of freedom[J]. IEEE Sensors Journal, 2018, 18(3):1203-1212.
[3] Schmidt R. Multiple emitter location and signal parameter estimation[J]. IEEE Transactions on Antennas and Propagation, 1986, 34(3):276-280.
[4] Roy R, Kailath T. ESPRIT-estimation of signal parameters via rotational invariance techniques[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1989, 37(7):984-995.
[5] 张宇乐, 胡国平, 周豪, 等. 高自由度低互耦的广义二阶嵌套MIMO雷达DOA估计[J]. 系统工程与电子技术, 2021, 43(10):2819-2827. Zhang Y L, Hu G P, Zhou H, et al. DOA estimation of generalized two-level nested MIMO radar with high degree of freedom and low mutual coupling[J]. Systems Engineering and Electronics, 2021, 43(10):2819-2827. (in Chinese)
[6] Moffet A. Minimum-redundancy linear arrays[J]. IEEE Transactions on Antennas and Propagation, 1968, 16(2):172-175.
[7] Pal P, Vaidyanathan P P. Nested arrays:a novel approach to array processing with enhanced degrees of freedom[J]. IEEE Transactions on Signal Processing, 2010, 58(8):4167-4181.
[8] Vaidyanathan P P, Pal P. Sparse sensing with co-prime samplers and arrays[J]. IEEE Transactions on Signal Processing, 2011, 59(2):573-586.
[9] Chen C Y, Vaidyanathan P P. Minimum redundancy MIMO radars[C]//2008 IEEE International Symposium on Circuits and Systems (ISCAS), 2008:45-48.
[10] Qin S, Zhang Y D, Amin M G. DOA estimation of mixed coherent and uncorrelated signals exploiting a nested MIMO system[C]//2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-systems for Radar, Telecommunications, and Biomedical Applications (BenMAS), 2014:1-3.
[11] Jia Y, Zhong X L, Guo Y, et al. DOA and DOD estimation based on bistatic MIMO radar with co-prime array[C]//2017 IEEE Radar Conference (RadarConf), 2017:394-397.
[12] Pal P, Vaidyanathan P P. Coprime sampling and the music algorithm[C]//2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2011:289-294.
[13] Qin S, Zhang Y D, Amin M G. Generalized coprime array configurations for direction-ofarrival estimation[J]. IEEE Transactions on Signal Processing, 2015, 63(6):1377-1390.
[14] Li J F, Zhang X F. Direction of arrival estimation of quasi-stationary signals using unfolded coprime array[J]. IEEE Access, 2017, 5:6538-6545.
[15] Li J F, Jiang D F, Zhang X F. DOA estimation based on combined unitary ESPRIT for coprime MIMO radar[J]. IEEE Communications Letters, 2017, 21(1):96-99.
[16] Shi J P, Hu G P, Zhang X F, et al. Sparsity-based DOA estimation of coherent and uncorrelated targets with flexible MIMO radar[J]. IEEE Transactions on Vehicular Technology, 2019, 68(6):5835-5848.
[17] Boudaher E, Ahmad F, Amin M G. Sparsity-based direction finding of coherent and uncorrelated targets using active nonuniform arrays[J]. IEEE Signal Processing Letters, 2015, 22(10):1628-1632.
[18] Lai X, Zhang X F, Zheng W, et al. Spatially smoothed tensor-based method for bistatic coprime MIMO radar with hole-free sum-difference co-array[J]. IEEE Transactions on Vehicular Technology, 2022, 71(4):3889-3899.
[19] Zheng W, Zhang X F, Gong P, et al. DOA estimation for coprime linear arrays:an ambiguity-free method involving full DOFs[J]. IEEE Communications Letters, 2018, 22(3):562-565.
[20] Shi J P, Hu G P, Zong B F, et al. DOA estimation using multipath echo power for MIMO radar in low-grazing angle[J]. IEEE Sensors Journal, 2016, 16(15):6087-6094.
[21] Liu J, Wang X P, Zhou W D. Covariance vector sparsity-aware DOA estimation for monostatic MIMO radar with unknown mutual coupling[J]. Signal Processing, 2016, 119:21-27.
[22] He Y J, Chen B M, Wu C. Composite nonlinear control with state and measurement feedback for general multivariable systems with input saturation[C]//42nd IEEE International Conference on Decision and Control, 2004:4469-4474.
[23] Zheng W, Zhang X F, Li J F, et al. Extensions of co-prime array for improved DOA estimation with hole filling strategy[J]. IEEE Sensors Journal, 2021, 21(5):6724-6732.
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