Two Dimensional Direction of Arrival Estimation for Co-prime L-shaped Array Using Sparse Reconstruction

被引：0
|
作者：
Liu, Qinghua [1 ]
Yi, Xiaodong [1 ]
Jin, Liangnian [1 ]
Chen, Wei [1 ]
机构：
[1] Guilin Univ Elect Technol, Guangxi Expt Ctr Informat Sci, Guilin, Peoples R China
来源：
2015 8th International Congress on Image and Signal Processing (CISP) | 2015年
关键词：
Co-prime L-shaped array; sparse reconstruction; Khatri-Rao product; two dimensional direction-of-arrival;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The maximum estimable number of sources of the traditional algorithms of Two Dimensional Direction-of-Arrival (2D-DOA) estimation have large amount of calculations, and the maximum estimable number of sources is strictly limited by the number of array elements. In this paper, with the co-prime L-shaped array, a sparse reconstruction method using the Khatri-Rao (KR) product is proposed. The 2D-DOA estimation is transformed into two 1D-DOA processes, and the parameters are automatically paired. The simulation results show that the proposed method can accurately handle more sources than physical sensors to improve the spatial resolution under small number of snapshots.
引用
收藏
页码：1499 / 1503
页数：5
相关论文
共 50 条
  • [1] Sparse representation based two-dimensional direction of arrival estimation using co-prime array
    Jianfeng Li
    Defu Jiang
    Xiaofei Zhang
    [J]. Multidimensional Systems and Signal Processing, 2018, 29 : 35 - 47
  • [2] Sparse representation based two-dimensional direction of arrival estimation using co-prime array
    Li, Jianfeng
    Jiang, Defu
    Zhang, Xiaofei
    [J]. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2018, 29 (01) : 35 - 47
  • [3] Sparse representation based two-dimensional direction-of-arrival estimation method with L-shaped array
    Cheng, ZengFei
    Zhao, Yongbo
    Zhu, YuTang
    Shui, Penglang
    Li, Hui
    [J]. IET RADAR SONAR AND NAVIGATION, 2016, 10 (05): : 976 - 982
  • [4] Sparse reconstruction for direction-of-arrival estimation using multi-frequency co-prime arrays
    BouDaher, Elie
    Ahmad, Fauzia
    Amin, Moeness G.
    [J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2014, : 1 - 11
  • [5] Sparse reconstruction for direction-of-arrival estimation using multi-frequency co-prime arrays
    Elie BouDaher
    Fauzia Ahmad
    Moeness G Amin
    [J]. EURASIP Journal on Advances in Signal Processing, 2014
  • [6] Sparse Representation-Based Method for Two-Dimensional Direction-of-Arrival Estimation with L-Shaped Array
    Luo, Xiaoyu
    Fei, Xiaochao
    Wei, Ping
    Gan, Lu
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION PROBLEM-SOLVING (ICCP), 2014, : 277 - 280
  • [7] Sparse direction of arrival estimation of co-prime MIMO radar using sparse aperture completion
    Tao, Yu
    Zhang, Gong
    Zhang, Jingya
    [J]. JOURNAL OF ENGINEERING-JOE, 2019, 2019 (20): : 7052 - 7055
  • [8] Two-Dimensional Angle of Arrival Estimation Using L-Shaped Array
    Thota, Santhosh
    Sircar, Pradip
    [J]. APPLIED SOFT COMPUTING AND COMMUNICATION NETWORKS, 2021, 187 : 237 - 253
  • [9] Compressive Sensing Based 2-D DOA Estimation by a Sparse L-Shaped Co-prime Array
    Ganguly, Saurav
    Sarkar, Indranil
    Kumar, Puli Kishore
    Ghosh, Jayanta
    Mukhopadhyay, Mainak
    [J]. 2022 URSI REGIONAL CONFERENCE ON RADIO SCIENCE, USRI-RCRS, 2022, : 179 - 182
  • [10] Continuous Sparse Recovery for Direction of Arrival Estimation with Co-prime Arrays
    Tan, Zhao
    Nehorai, Arye
    Eldar, Yonina C.
    [J]. 2014 IEEE 8TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2014, : 393 - 396
12345