空时互质采样下栅格失配目标的频率和DOA联合估计

吕望晗; 王华力; 牟善祥; 刘峰

doi:10.11959/j.issn.1000-436x.2017035

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空时互质采样下栅格失配目标的频率和DOA联合估计

学术论文 | 更新时间：2024-06-05

- 空时互质采样下栅格失配目标的频率和DOA联合估计
- Joint frequency and DOA estimation using spatial-temporal co-prime sampling with off-grid sources
- 通信学报 2017年38卷第2期页码：125-131
- 作者机构：
  
  1. 南京理工大学电子工程与光电技术学院，江苏南京210094
  2. 解放军理工大学通信工程学院，江苏南京 210007
- 作者简介：
  
  [ "吕望晗（1991-），男，江苏宜兴人，南京理工大学博士生，主要研究方向为阵列信号处理、频谱感知、采样技术。" ]
  [ "王华力（1967-），男，浙江昌岭人，博士，解放军理工大学教授，主要研究方向为信息感知与处理。" ]
  [ "牟善祥（1953-），男，江苏南京人，博士，南京理工大学教授，主要研究方向为相控阵雷达信号处理。" ]
  [ "刘峰（1981-），男，山东泰安人，南京理工大学博士生，主要研究方向为MIMO雷达信号处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61271354)
- DOI：10.11959/j.issn.1000-436x.2017035
  中图分类号： TN911.7
- 网络出版日期：2017-02，
  
  纸质出版日期：2017-02-25
- 稿件说明：
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吕望晗, 王华力, 牟善祥, 等. 空时互质采样下栅格失配目标的频率和DOA联合估计[J]. 通信学报, 2017,38(2):125-131.

Wang-han LYU, Hua-li WANG, Shan-xiang MU, et al. Joint frequency and DOA estimation using spatial-temporal co-prime sampling with off-grid sources[J]. Journal on communications, 2017, 38(2): 125-131.
吕望晗, 王华力, 牟善祥, 等. 空时互质采样下栅格失配目标的频率和DOA联合估计[J]. 通信学报, 2017,38(2):125-131. DOI： 10.11959/j.issn.1000-436x.2017035.

Wang-han LYU, Hua-li WANG, Shan-xiang MU, et al. Joint frequency and DOA estimation using spatial-temporal co-prime sampling with off-grid sources[J]. Journal on communications, 2017, 38(2): 125-131. DOI： 10.11959/j.issn.1000-436x.2017035.

摘要

针对空时互质采样下频率和波达方向（DOA

direction-of-arrival）稀疏联合估计中存在的二维栅格失配问题，提出一种栅格失配目标下的频率和 DOA 联合估计方法。首先对入射信号做空时互质采样，建立虚拟满阵下的二维稀疏恢复模型，然后在以上模型中引入频率栅格失配误差项和角度栅格失配误差项进行二维修正，并给出一种改进的贪婪算法，通过对谱泄露变量联合求解来得到二维栅格失配误差项，最终将栅格失配目标校正到精确位置上。该方法不仅可以提高空频域上的自由度（DOF

degrees of freedom），而且在降低运算量的同时改善了频率和DOA联合估计的精度。仿真结果验证了方法的正确性。

Abstract

A method of joint frequency and direction of arrival (DOA) estimation using spatial-temporal co-prime sam-pling with off-grid sources was proposed to solve the problem of two-dimensional (2D) mismatches of signals.Firstly

the received signal was sampled by spatio-temporal co-prime sampling technique to construct 2D sparse reconstruction model with the filled coarray.Then the frequency mismatch term and angle mismatch term were incorporated into the re-ceived data model.Based on the above modified model

an improved greedy algorithm was presented to obtain the fre-quency mismatch and angle mismatch by estimating the spectrum leakage terms jointly.So the 2D off-grid sources can be corrected to accurate positions.The method can increase the degrees of freedom (DOF) in the space-frequency domain.Moreover

the method has reduced the amount of computation

and it can improve the frequency and DOA estimation accuracy in the meantime.Simulation results demonstrate the correctness and effectiveness of the proposed approach.

关键词

Keywords

references

张海强 , 苏卫民 , 顾红 , 等 . 基于矩阵法及联合对角化的2D DOA估计 [J ] . 通信学报 , 2013 , 34 ( 9 ): 61 - 67 .

ZHANG H Q , SU W M , GU H , et al . 2D DOA estimation based on matrix method and joint diagonalization technique [J ] . Journal on Communications , 2013 , 34 ( 9 ): 61 - 67 .

孙晓颖 , 陈建 , 林琳 . 基于时空处理的频率与二维 DOA 联合估计算法 [J ] . 通信学报 , 2009 , 30 ( 8 ): 39 - 44 .

SUN X Y , CHEN J , LIN L . Joint signal carrier frequency and 2D DOA estimation method based on space-time processing [J ] . Journal on Communications , 2009 , 30 ( 8 ): 39 - 44 .

吴云韬 , 侯朝焕 , 王荣 , 等 . 一种基于高阶累积量的近场源距离、频率和方位联合估计算法 [J ] . 电子学报 , 2005 , 33 ( 10 ): 1893 - 1896 .

WU Y T , HOU C H , WANG R , et al . Joint ranges DOAs and frequencies estimation of multiple near-field sources using cumulant [J ] . Acta Electronica Sinica , 2005 , 33 ( 10 ): 1893 - 1896 .

WANG S , CAFFERY J , ZHOU X . Analysis of a joint spacetime DOA/FOA estimator using MUSIC [C ] // IEEE International Symposium on Personal,Indoor and Mobile Radio Communications . 2001 : B138 - B142 .

WANG X D , ZHANG X F , LI J F , et al . Improved ESPRIT method for joint direction-of-arrival and frequency estimation using multiple-delay output [J ] . International Journal of Antennas and Propagation , 2012 ( 1 ): 1018 - 1020 .

DONOHO D L . Compressed sensing [J ] . IEEE Transactions on Information Theory , 2006 , 52 ( 4 ): 1289 - 1306 .

KUMAR A A , RAZUL S G , SEE S M S . An efficient sub-Nyqusit receiver architecture for spectrum blind reconstruction and direction of arrival estimation [C ] // IEEE International Conference on Acoustics,Speech and Signal Processing . 2014 : 6781 - 6785 .

赵曼 , 陈辉 . 基于扩维的多通道联合频率和到达角估计 [J ] . 电子与信息学报 , 2014 , 36 ( 1 ): 147 - 151 .

ZHAO M , CHEN H . Multichannel joint frequency and DOA estimation based on expanded dimension [J ] . Journal of Electronics ＆ Information Technology , 2014 , 36 ( 1 ): 147 - 151 .

VAIDYANATHAN P P , PAL P . Sparse sensing with co-prime samplers and arrays [J ] . IEEE Transactions on Signal Processing , 2011 , 59 ( 2 ): 573 - 586 .

PAL P , VAIDYANATHAN P P . Co-prime sampling and the MUSIC algorithm [C ] // Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop . 2011 : 289 - 294 .

LIU C L , VAIDYANATHAN P P . Remarks on the spatial smoothing step in co-array MUSIC [J ] . IEEE Signal Processing Letters , 2015 , 22 ( 9 ): 1438 - 1442 .

邵华 , 苏卫民 , 顾红 , 等 . 基于稀疏互质 L 型阵列的二维测向算法 [J ] . 电波科学学报 , 2012 , 27 ( 5 ): 886 - 891 .

SHAO H , SU W M , GU H , et al . Two-dimensional direction finding using a sparse L-shaped array [J ] . Chinese Journal of Radio Science , 2012 , 27 ( 5 ): 886 - 891 .

ZHANG Y D , AMIN M G , HIMED B . Sparsity-based DOA estimation using co-prime arrays [C ] // IEEE International Conference on Acoustics Speech and Signal Processing . 2013 : 3967 - 3971 .

ZHAO T , NEHORAI A . Sparse direction of arrival estimation using co-prime arrays with offgrid targets [J ] . IEEE Signal Processing Let-ters , 2014 , 21 ( 1 ): 26 - 29 .

ZHAO T , ELDAR Y C , NEHORAI A . Direction of arrival estimation using co-prime arrays:a super resolution viewpoint [J ] . IEEE Transactions on Signal Processing , 2014 , 62 ( 21 ): 5565 - 5576 .

BOUDAHER E , JIA Y , AHMAD F , et al . Multi-frequency co-prime arrays for high-resolution direction-of-arrival estimation [J ] . IEEE Transactions on Signal Processing , 2015 , 63 ( 14 ): 3797 - 3808 .

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