基于实值处理的联合波束域双基地MIMO雷达测角算法

徐保庆; 赵永波; 庞晓娇

doi:10.11999/JEIT180766

基于实值处理的联合波束域双基地MIMO雷达测角算法

doi: 10.11999/JEIT180766

徐保庆¹,
赵永波^{1, 2, ,},
庞晓娇¹

1.
西安电子科技大学雷达信号处理国家重点实验室西安 710071
2.
西安电子科技大学信息感知技术协同创新中心西安 710071

基金项目: 中央高校基本科研业务费项目(K5051202047)

详细信息

作者简介:
徐保庆：男，1992年生，博士生，研究方向为雷达信号处理、阵列信号处理和MIMO雷达

赵永波：男，1972年生，教授，博士生导师，研究方向为雷达信号处理、自适应信号处理和参数估计

庞晓娇：女，1993年生，博士生，研究方向为压缩感知和阵列信号处理

通讯作者:
赵永波　ybzhao@xidian.edu.cn

中图分类号: TN958
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- 被引次数: 0
出版历程
- 收稿日期: 2018-08-03
- 修回日期: 2019-01-17
- 网络出版日期: 2019-02-14
- 刊出日期: 2019-07-01

Joint Real-valued Beamspace-based Method for Angle Estimation in Bistatic MIMO Radar

1.
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2.
Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China

Funds: The Fundamental Research Funds for the Central Universities (K5051202047)

摘要

摘要: 该文提出一种基于实值处理的联合波束域双基地多输入多输出(MIMO)雷达测角方法。与直接采用离散傅里叶变换(DFT)空域滤波器的传统波束域方法不同，该方法的空域滤波器通过凸优化方法进行设计，能够灵活控制空域滤波器的带宽并抑制旁瓣电平。基于这种特性，设计的空域滤波器的主旁瓣比能够得到很大提高，从而提高测角性能。更重要的是，所提算法对发射和接收波束矩阵的结构进行设计，这种特殊的结构是构造实值信号模型的必要条件。最后，该文通过建立映射关系的方法对插值误差进行补偿。仿真结果验证了该算法的有效性。
- 多输入多输出雷达 /
- 凸优化 /
- 角度估计 /
- 波束域转换
Abstract: A joint real-valued beamspace-based method for angle estimation in bistatic Multiple-Input Multiple-Output (MIMO) radar is proposed. Instead of using the traditional Discrete Fourier Transform (DFT) beamspace filter, the proposed beamspace filter is designed through convex optimization, which can flexibly control the bandwidth and limit the sidelobe level. Based on this property, the mainlobe-to-sidelobe ratio of the proposed beamspace filter can be greatly improved, which results in the improved estimation performance. More importantly, the structure of the proposed beamspace matrix can be properly designed, which is indispensable in constructing the real-valued signal model. Finally, the mapping relationship to compensate the interpolation error is established. Simulation results verify the effectiveness of the proposed method.
- MIMO radar /
- Convex optimization /
- Angle estimation /
- Beamspace transformation

HTML全文

图 1 空域滤波器性能比较

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图 2 本文算法角度估计结果

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图 3 非相关信源RMSE随信噪比变化情况

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图 4 非相关信源RMSE随脉冲数变化情况

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图 5 相关信源RMSE随信噪比变化情况

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图 6 相关信源检测概率随信噪比变化情况

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