DOA Estimation Using Spatial Smoothing with Overlapped Effective Array Aperture

被引:0
|
作者
Sekine, Kiyotoshi [1 ]
Kikuma, Nobuyoshi [1 ]
Hirayama, Hiroshi [1 ]
Sakakibara, Kunio [1 ]
机构
[1] Nagoya Inst Technol, Dept Comp Sci & Engn, Showa Ku, Nagoya, Aichi 4668555, Japan
关键词
DOA estimation; spatial smoothing; multiple snapshots; overlapped effective apertuer; coherent sources; ESPRIT;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Spatial smoothing (SS) has widely been used for direction-of-arrival (DOA) estimation using an array antenna in case of multiple coherent waves incident or only a small number of snapshots available. After this preprocessing, the effective array aperture is reduced. It is possible to overcome the drawback of SS by using the augmented array aperture technique called SSIA (spatial smoothing with improved effective aperture). SSIA is a technique that makes effective use of the shift invariance of the array steering matrix and can be applied to DOA estimation algorithms such as ESPRIT. However, if multiple snapshots are utilized, SSIA cannot work well because the array steering matrix changes depending on snapshots. Therefore, this paper proposes a new technique of using the augmented array aperture in a similar manner, which is called SSOA (spatial smoothing with overlapped effective aperture). Computer simulation results show that the proposed technique provides successful DOA estimation of multiple coherent sources for the case of more than one snapshot.
引用
收藏
页码:1100 / 1102
页数:3
相关论文
共 50 条
  • [41] DOA Estimation of Multiple Sources Using Arbitrary Microphone Array Configuration in the Presence of Spatial Aliasing
    Sekikawa, Masashi
    Hamada, Nozomu
    2014 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS), 2014, : 80 - 83
  • [42] Spatial Smoothing PAST Algorithm for DOA Tracking Using Difference Coarray
    Zheng, Zhi
    Huang, Yixiao
    Wang, Wen-Qin
    So, Hing Cheung
    IEEE SIGNAL PROCESSING LETTERS, 2019, 26 (11) : 1623 - 1627
  • [43] DOA Estimation of Desired Signals Using In-Phase Combining of Multiple Cyclic Correlations and Spatial Smoothing Processing
    Kamiya, Yuta
    Kikuma, Nobuyoshi
    Sakakibara, Kunio
    2016 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2016, : 1028 - 1029
  • [44] Azimuth DOA Estimation using an Oval Antenna Array
    Sanudin, Rahmat
    2013 IEEE MALAYSIA INTERNATIONAL CONFERENCE ON COMMUNICATIONS (MICC), 2013, : 438 - 442
  • [45] DOA Estimation using Planar Sparse Fractal Array
    Goel, Kretika
    Agrawal, Monika
    Kar, Subrat
    2023 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP, SSP, 2023, : 468 - 472
  • [46] DOA estimation using array antenna with arbitrary geometry
    Yuan, QW
    Chen, Q
    Sawaya, K
    2004 IEEE 15TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-4, PROCEEDINGS, 2004, : 945 - 948
  • [47] Synthetic sparse nested array with extended aperture and reduced mutual coupling for DOA estimation
    Jiang, Guojun
    Yang, Yunlong
    SIGNAL PROCESSING, 2023, 204
  • [48] Deep learning-based DOA estimation for hybrid massive MIMO receive array with overlapped subarrays
    Li, Yifan
    Shi, Baihua
    Shu, Feng
    Song, Yaoliang
    Wang, Jiangzhou
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2023, 2023 (01)
  • [49] Deep learning-based DOA estimation for hybrid massive MIMO receive array with overlapped subarrays
    Yifan Li
    Baihua Shi
    Feng Shu
    Yaoliang Song
    Jiangzhou Wang
    EURASIP Journal on Advances in Signal Processing, 2023
  • [50] Wideband DoA Estimation Based on Joint Optimisation of Array and Spatial Sparsity
    Chen, Mingyang
    Wang, Wenwu
    Barnard, Mark
    Chambers, Jonathon
    2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2017, : 2106 - 2110