频控阵MIMO雷达中基于稀疏迭代的多维信息联合估计方法

巩朋成; 刘刚; 黄禾; 王文钦

doi:10.12000/JR16121

频控阵MIMO雷达中基于稀疏迭代的多维信息联合估计方法

DOI: 10.12000/JR16121

1.
(湖北工业大学电气与电子工程学院电子信息工程系武汉 430068)
2.
(中国电子科技集团公司第二十九研究所电磁空间作战与应用重点实验室成都 610036)
3.
(电子科技大学通信与信息工程学院成都 611731)

基金项目:

国家自然科学基金（61601178），中国博士后科学基金（2016M600729），博士科研启动金（BSQD14032）

详细信息

作者简介:
巩朋成(1982-),男,甘肃甘谷人,现为电子科技大学博士后,主要研究方向为MIMO雷达、频控阵列信号处理以及波形设计等。E-mail:gpcheng03@163.com;王文钦(1979-),男,四川眉山人,教授,博士生导师,研究方向为现代信号处理及其应用研究。E-mail:wqwang@uestc.edu.cn

通讯作者:
巩朋成gpcheng03@163.com

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出版历程
- 收稿日期: 2016-11-01
- 修回日期: 2016-11-28
- 网络出版日期: 2018-04-28

Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar

1.
(School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China)
2.
(CETC Key Laboratory of Electromagnetic Domain Operation, No.29 Research Institute of CETC, Chengdu 610036, China)
3.
(School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

Funds:

The National Natural Science Foundation of China (61601178), China Postdoctoral Science Foundation (2016M600729), The Doctoral Starting up Foundation (BSQD14032)

摘要

摘要: 传统MIMO雷达为了获得准确的距离信息不仅需要引入转移矩阵，而且需要积累更多的快拍数。针对该问题，该文提出了基于稀疏迭代的频控阵MIMO雷达多维信息（距离、角度和幅度）估计方法，该方法利用频控阵MIMO的发射导向矢量不仅与目标的方位角有关，同时也与目标的距离有关这一特性，通过优化加权lq范数（0 q 1）的目标函数，采用稀疏迭代优化获取目标的距离、角度和幅度信息。该方法仅需单次快拍，并在每次迭代中求解到了目标的多维信息，故不需借助优化工具获得目标信息。仿真显示，相比DAS，IAA和IAA-R，该方法在有效减少快拍数和处理数据的同时，获得了高分辨率的目标距离、角度和幅度估计性能。
- MIMO雷达 /
- 频控阵 /
- 距离估计 /
- 参数估计 /
- 新体制雷达
Abstract: To accurately identify the range of each target, traditional Multiple-Input Multiple-Output (MIMO) radar techniques not only require designing a shift matrix to describe different range bins but also a large number of snapshots.To alleviate this problem, a multidimensional parameter estimation method based on sparse iteration is proposed for a MIMO radar with Frequency Diverse Array (FDA).The FDA-MIMO radar uses small frequency increments across the array elements, and its transmit steering vector is a function of both range and angle.On the basis of the feature of the FDA-MIMO radar, we consider a weighted lq (0 q 1) minimization problem that is solved using a sparse iterative algorithm.Finally, the target parameters (the amplitude, range, and angle) are obtained using a single snapshot.Moreover, numerical simulations are used to demonstrate the superior performance of the proposed method compared with those of DAS, IAA, and IAA-R.
- Multiple-Input Multiple-Output(MIMO)radar /
- Frequency Diverse Array(FDA) /
- Range estimation /
- Parameter estimation /
- New radar scheme

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参考文献(18)

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