Enhanced Coprime Array Structure and DOA Estimation Algorithm for Coherent Sources

被引:0
|
作者
Han, Xiaolei [1 ]
Zhang, Xiaofei [2 ]
机构
[1] Shanghai Business Sch, Inst IoT Engn, Shanghai 201400, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Elect Informat Coll, Nanjing 210016, Peoples R China
关键词
enhanced coprime array; direction of arrival (DOA) estimation; coherent signals; array processing; spatial smoothing; OF-ARRIVAL ESTIMATION; SPATIAL SMOOTHING TECHNIQUE; ESPRIT; FREQUENCY;
D O I
10.3390/s24010260
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper presents a new enhanced coprime array for direction of arrival (DOA) estimation. Coprime arrays are capable of estimating the DOA using coprime properties and outperforming uniform linear arrays. However, the associated algorithms are not directly applicable for estimating the DOA of coherent sources. To overcome this limitation, we propose an enhanced coprime array in this paper. By increasing the number of array sensors in the coprime array, it is feasible to enlarge the aperture of the array and these additional array sensors can be utilized to achieve spatial smoothing, thus enabling estimation of the DOA for coherent sources. Additionally, applying the spatial smoothing technique to the signal subspace, instead of the conventional spatial smoothing method, can further improve the ability to reduce noise interference and enhance the overall estimation result. Finally, DOA estimation is accomplished using the MUSIC algorithm. The simulation results demonstrate improved performance compared to traditional algorithms, confirming its feasibility.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] DOA Estimation Exploiting Extended Co-Array of Coprime Array
    Chen, Zhenhong
    Ren, Shiwei
    Wang, Weijiang
    [J]. 2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR), 2016,
  • [22] An enhanced spatial smoothing algorithm for coherent signals DOA estimation
    Qi, Bingbing
    Liu, Dunge
    [J]. ENGINEERING COMPUTATIONS, 2022, 39 (02) : 574 - 586
  • [23] DOA Estimation Based on Subspace Compensation for Unfolded Coprime Array
    Jianfeng Li
    Xiong Xu
    Ping Li
    Yawei Tang
    [J]. Journal of Beijing Institute of Technology, 2021, 30 (04) : 363 - 367
  • [24] DOA Estimation Algorithm for Dual-Target Narrowband Coherent Sources
    Wang Xinyi
    [J]. 2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019), 2019, : 871 - 875
  • [25] L-shaped coprime array structures for DOA estimation
    Elbir, Ahmet M.
    [J]. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2020, 31 (01) : 205 - 219
  • [26] L-shaped coprime array structures for DOA estimation
    Ahmet M. Elbir
    [J]. Multidimensional Systems and Signal Processing, 2020, 31 : 205 - 219
  • [27] Sparse DOA Estimation based on a Shifted Coprime Array Configuration
    Alamoudi, Saeed M.
    Aldhaheri, Mohammed A.
    Alawsh, Saleh A.
    Muqaibel, Ali H.
    [J]. 2016 16TH MEDITERRANEAN MICROWAVE SYMPOSIUM (MMS), 2016,
  • [28] Computationally efficient DOA estimation for coprime linear array: a successive signal subspace fitting algorithm
    Gong, Pan
    Zhang, Xiaofei
    Ahmed, Tanveer
    [J]. INTERNATIONAL JOURNAL OF ELECTRONICS, 2020, 107 (08) : 1216 - 1238
  • [29] Coarray Interpolation for DOA Estimation Using Coprime EMVS Array
    Fu, Mingcheng
    Zheng, Zhi
    Wang, Wen-Qin
    So, Hing Cheung
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2021, 28 : 548 - 552
  • [30] DOA ESTIMATION BY COVARIANCE MATRIX SPARSE RECONSTRUCTION OF COPRIME ARRAY
    Zhou, Chengwei
    Shi, Zhiguo
    Gu, Yujie
    Goodman, Nathan A.
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2015, : 2369 - 2373