十字型阵列MIMO雷达高精度二维DOA估计

梁浩; 崔琛; 余剑

doi:10.12000/JR16016

十字型阵列MIMO雷达高精度二维DOA估计

DOI: 10.12000/JR16016

(合肥电子工程学院通信对抗系401室合肥 230037)

基金项目:

国家自然科学基金(60702015)

安徽省科技攻关项目(1310115188),电子工程学院院控科研基金(KY13A197,KY13A200, KY13A206)

详细信息

作者简介:
梁浩(1987-),男,博士研究生,主要研究方向为阵列信号处理以及MIMO雷达信号处理。E-mail:lhmailhappy@163.com;崔琛(1962-),男,教授,博士生导师,主要研究方向为雷达信号处理。E-mail:kycuichen@163.com;余剑(1980-),男,讲师,硕士,主要研究方向为雷达信号处理以及雷达对抗技术。E-mail:jimmyyu1112@hotmail.com

通讯作者:
梁浩lhmailhappy@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2016-01-21
- 修回日期: 2016-03-29
- 网络出版日期: 2016-06-28

Two-dimensional DOA Estimation with High Accuracy for MIMO Radar Using Cross Array

(401 Laboratory, Department of Communication Countermeasure, Electronic Engineering Institute, Hefei 230037, China)

Funds:

The National Natural Science Foundation of China (60702015), Anhui Province Foundation for Science and Technology Research Project (1310115188), Scientific Research Foundation of Electronic Engineering Institute (KY13A197, KY13A200, KY13A206)

摘要

摘要: 该文针对十字型阵列配置下的单基地MIMO雷达2维空间角度估计问题,提出一种新的基于酉变换的高精度估计算法,算法利用收、发阵列中十字型阵列的中心对称性,通过酉矩阵设计及酉变换过程,将发射、接收阵列中对应的长、短基线平移不变关系映射到实数域,并基于双尺度酉ESPRIT算法实现2维参数的无模糊高精度估计。仿真结果表明：该文算法不牺牲阵列孔径,在获得2维空间角度无模糊高精度估计的同时,无需额外的配对算法和谱搜索;与传统酉变换过程相比,该文算法的酉变换过程等效将发射与接收导向矢量分别实数化,有效克服了传统酉变换算法中实数域旋转不变因子无法提取的问题,在实现特征分解与参数求解完全实数化的同时,具有更低的运算复杂度。最后,通过仿真实验验证了该文算法的正确性和算法的有效性。
- MIMO雷达 /
- 十字型阵列 /
- 酉变换 /
- 双尺度酉ESPRIT
Abstract: In this study, we investigate the estimation of the Two-Dimensional (2D) Direction Of Arrival (DOA) in monostatic multiple-input-multiple-output radar with cross array and propose a novel, highly accurate DOA estimation method based on unitary transformation. First, we design a new unitary matrix using the central symmetry of a cross array at transmit and receive sites. Then, the rotational invariance relationships of these arrays with long and short baselines can be transformed into a real-value field via unitary transformation. In addition, non-ambiguous and highly accurate 2D DOA estimations can be obtained using a unitary dual-resolution ESPRIT algorithm. Simulations show that the proposed method can estimate 2D highly accurate spatial angles using automatic pairing without incurring the expense of array aperture and peak searching. Compared with traditional unitary transformation, the steering vectors of transmit and receive arrays can be transformed into real-value fields via the unitary matrix and the transformation method of our scheme, respectively. This effectively overcomes the problem of shift invariance factors in real-value fields that cannot be extracted using traditional algorithms. Therefore, the proposed method can absolutely compute eigenvalue decomposition and estimate parameters in a real-value field, resulting in lower computational complexity compared with traditional methods. Simulation results verify both the correctness of our theoretical analysis and the effectiveness of the proposed algorithm.
- MIMO radar /
- Cross array /
- Unitary transformation /
- Dual-resolution unitary ESPRIT

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参考文献(19)

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