基于改进典范分解的嵌套阵列DOA估计

程思备; 骆骁; 蒋博筹; 王玉婷; 吴寰宇

doi:10.11959/j.issn.1000-0801.2021119

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基于改进典范分解的嵌套阵列DOA估计

研究与开发 | 更新时间：2024-06-05

- 基于改进典范分解的嵌套阵列DOA估计
- Improved CPD based DOA estimation of nested array
- 电信科学 2021年37卷第8期页码：38-45
- 作者机构：
- 作者简介：
  
  [ "程思备（1991− ），男，重庆信息通信研究院工程师，主要研究方向为无线电管理、信息通信技术、智能化技术与应用等" ]
  [ "骆骁（1989− ），男，重庆信息通信研究院高级工程师，主要研究方向为无线电管理、信息通信技术、智能化技术与应用等" ]
  [ "蒋博筹（1997− ），女，现就职于重庆信息通信研究院，主要研究方向为无线电管理、信息通信技术、智能化技术与应用等" ]
  [ "王玉婷（1997− ），女，现就职于重庆信息通信研究院，主要研究方向为无线电管理、信息通信技术、智能化技术与应用等" ]
  [ "吴寰宇（1992− ），男，现就职于重庆信息通信研究院，主要研究方向为无线电管理、信息通信技术、智能化技术与应用等" ]
- 基金信息：
  
  重庆市技术创新与应用发展专项重点项目;Chongqing Technology Innovation and Application Development Special Key Project(cstc2020jscx-cylhX0004)
- DOI：10.11959/j.issn.1000-0801.2021119
  中图分类号： TP393
- 网络出版日期：2021-08，
  
  纸质出版日期：2021-08-20
- 稿件说明：
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程思备, 骆骁, 蒋博筹, 等. 基于改进典范分解的嵌套阵列DOA估计[J]. 电信科学, 2021,37(8):38-45.

Sibei CHENG, Xiao LUO, Bochou JIANG, et al. Improved CPD based DOA estimation of nested array[J]. Telecommunications science, 2021, 37(8): 38-45.
程思备, 骆骁, 蒋博筹, 等. 基于改进典范分解的嵌套阵列DOA估计[J]. 电信科学, 2021,37(8):38-45. DOI： 10.11959/j.issn.1000-0801.2021119.

Sibei CHENG, Xiao LUO, Bochou JIANG, et al. Improved CPD based DOA estimation of nested array[J]. Telecommunications science, 2021, 37(8): 38-45. DOI： 10.11959/j.issn.1000-0801.2021119.

摘要

摘要：为了避免在对嵌套阵列做DOA估计时进行空域峰值搜索，将典范分解应用于嵌套阵列，通过单次奇异值分解、双线性映射和张量分解得到阵列导向量矩阵和入射角。但现有典范分解算法只适用于无噪条件，通过两次奇异值分解改进了该算法，使其在无噪和有噪条件下均适用。仿真结果表明：在相同信噪比、快拍数情况下，基于改进典范分解的嵌套阵列DOA估计算法相比MUSIC、空间平滑算法具有更好的估计性能和更少的运算时间。

Abstract

In order to avoid searching the peak value in space domain

when estimating nested array’s the direction of direction of arrival(DOA)

the canonical polyadic decomposition(CPD) was applied into the nested array

namely using the one time singular value decomposition(SVD)

bilinear mapping and tensor decomposition to obtain the steering vector matrix and arrival angle.However

the existing CPD algorithm only can be applied in noiseless environment

the algorithm was improved by utilizing SVD two times

and was made to be applied in both noiseless and noisy environments.The simulation results demonstrate that in the same signal to noise ratio(SNR) and snapshot

the DOA estimation algorithm of nested array based on the improved CPD has better performances and less running time than the MUSIC and space smoothing algorithms.

关键词

Keywords

references

PILLAI S U , BAR-NESS Y ,, HABER F . A new approach to array geometry for improved spatial spectrum estimation [J ] . Proceedings of the IEEE , 1985 , 73 ( 10 ): 1522 - 1524 .

MOFFET A . Minimum-redundancy linear arrays [J ] . IEEE Transactions on Antennas and Propagation , 1968 , 16 ( 2 ): 172 - 175 .

盘敏容 , 蒋留兵 , 车俐 , 等 . 基于协方差矩阵重构的互质阵列DOA估计 [J ] . 雷达科学与技术 , 2020 , 18 ( 1 ): 1 - 6 , 13 .

PAN M R , JIANG L B , CHE L , et al . DOA estimation of coprime array based on covariance matrix reconstruction [J ] . Radar Science and Technology , 2020 , 18 ( 1 ): 1 - 6 , 13 .

占成宏 , 胡国平 , 周豪 , 等 . 基于虚拟阵元内插的互质阵列目标 DOD 和 DOA 联合估计算法 [J ] . 系统工程与电子技术 , 2020 , 42 ( 7 ): 1455 - 1463 .

ZHAN C H , HU G P , ZHOU H , et al . Joint DOD and DOA estimation algorithm for coprime arrays based on virtual array element interpolation [J ] . Systems Engineering and Electronics , 2020 , 42 ( 7 ): 1455 - 1463 .

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 .

LIU C L , VAIDYANATHAN P P . Super nested arrays:linear sparse arrays with reduced mutual coupling—part II:high-order extensions [J ] . IEEE Transactions on Signal Processing , 2016 , 64 ( 16 ): 4203 - 4217 .

VAIDYANATHAN P P , PAL P . Why does direct-MUSIC on sparse-arrays work? [C ] // Proceedings of 2013 Asilomar Conference on Signals,Systems and Computers . Piscataway:IEEE Press , 2013 : 2007 - 2011 .

刘晓宇 , 陈俊丽 , 徐略秋 . 基于嵌套阵列的一种快速DOA估计算法 [J ] . 电子测量技术 , 2019 , 42 ( 23 ): 111 - 115 .

LIU X Y , CHEN J L , XU L Q . Fast DOA estimation algorithm based on nested array [J ] . Electronic Measurement Technology , 2019 , 42 ( 23 ): 111 - 115 .

王秀 , 常青 , 王耀力 . 基于 L 型阵列酉变换矩阵重构的二维DOA估计 [J ] . 电信科学 , 2018 , 34 ( 7 ): 110 - 117 .

WANG X , CHANG Q , WANG Y L . Two-dimensional DOA estimation of unitary transformation matrix reconstruction based on L-shaped array [J ] . Telecommunications Science , 2018 , 34 ( 7 ): 110 - 117 .

多滨 , 罗俊松 , 贾勇 , 等 . 基于子空间分解类算法的高精度频率估计 [J ] . 电子科技大学学报 , 2020 , 49 ( 1 ): 42 - 48 .

DUO B , LUO J S , JIA Y , et al . High-accuracy frequency estimation based on the class of subspace decomposition algorithms [J ] . Journal of University of Electronic Science and Technology of China , 2020 , 49 ( 1 ): 42 - 48 .

SØRENSEN M , DE LATHAUWER L . New uniqueness conditions for the canonical polyadic decomposition of third-order tensors [J ] . SIAM Journal on Matrix Analysis and Applications , 2015 , 36 ( 4 ): 1381 - 1403 .

SORENSEN M , DOMANOV I , DE L L . Coupled canonical polyadic decompositions and (coupled) decompositions in multilinear rank- $(lr,n,lr,n,1)$ terms:-part II:algorithms [J ] . SIAM Journal on Matrix Analysis and Applications , 2015 , 36 ( 3 ): 1015 - 1045 .

SORENSEN M , DE L L . Multiple invariance ESPRIT for nonuniform linear arrays:a coupled canonical polyadic decomposition approach [J ] . IEEE Transactions on Signal Processing , 2016 , 64 ( 14 ): 3693 - 3704 .

STOICA P , NEHORAI A . MUSIC,maximum likelihood,and Cramer-Rao bound [J ] . IEEE Transactions on Acoustics,Speech,and Signal Processing , 1989 , 37 ( 5 ): 720 - 741 .

SORENSEN M , DE LATHAUWER L . Coupled tensor decompositions for applications in array signal processing [C ] // Proceedings of 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) . Piscataway:IEEE Press , 2013 : 228 - 231 .

王宏伟 , 谢丽蓉 . 基于奇异值分解的非均匀采样非线性系统的模糊模型辨识 [J ] . 控制与决策 , 2020 , 35 ( 3 ): 757 - 762 .

WANG H W , XIE L R . Identification of fuzzy model of non-uniformly sampled nonlinear systems based on singular value decomposition [J ] . Control and Decision , 2020 , 35 ( 3 ): 757 - 762 .

龚晓峰 , 毛蕾 , 林秋华 , 等 . 基于四阶累积量张量联合对角化的多数据集联合盲源分离 [J ] . 电子与信息学报 , 2019 , 41 ( 3 ): 509 - 515 .

GONG X F , MAO L , LIN Q H , et al . Joint blind source separation based on joint diagonalization of fourth-order cumulant tensors [J ] . Journal of Electronics ＆ Information Technology , 2019 , 41 ( 3 ): 509 - 515 .

李扬 , 张伟涛 , 楼顺天 . 基于联合对角化的声信号深度卷积混合盲分离方法 [J ] . 电子与信息学报 , 2019 , 41 ( 12 ): 2951 - 2956 .

LI Y , ZHANG W T , LOU S T . Deep convolution blind separation of acoustic signals based on joint diagonalization [J ] . Journal of Electronics ＆ Information Technology , 2019 , 41 ( 12 ): 2951 - 2956 .

司伟建 , 万良田 , 田作喜 . 基于柱面共形阵列天线的快速波达方向估计 [J ] . 系统工程与电子技术 , 2013 , 35 ( 8 ): 1589 - 1595 .

SI W J , WAN L T , TIAN Z X . Fast DOA estimation based on cylindrical conformal array antenna [J ] . Systems Engineering and Electronics , 2013 , 35 ( 8 ): 1589 - 1595 .

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