DoA Estimation for Hybrid Receivers: Full Spatial Coverage and Successive Refinement

被引:2
|
作者
Abdelbadie, Ali [1 ]
Mostafa, Mona [2 ]
Bameri, Salime [3 ]
Gohary, Ramy H. [2 ]
Thomas, Dimple [3 ]
机构
[1] Ciena Canada Inc, Ottawa, ON K2K 3E8, Canada
[2] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
[3] Ericsson Canada Inc, Ottawa, ON K2K 2V6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Direction-of-arrival estimation; Signal processing algorithms; Radio frequency; Estimation; Receiving antennas; Antennas; Signal to noise ratio; DoA estimation; large-scale antenna array; hybrid analog/digital architectures; DFT matrix; CRLB; INFORMATION-THEORETIC CRITERIA; MASSIVE MIMO; CHANNEL ESTIMATION; LOW-COMPLEXITY; BEAMFORMING DESIGN; PERFORMANCE; SIGNALS; SYSTEMS; COMPRESSION; ANALOG;
D O I
10.1109/TSP.2024.3459422
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
We develop two novel algorithms for estimating the direction of arrival (DoA) of multiple sources in fully-connected and partially-connected hybrid analog/digital (HAD) receivers. The first algorithm is based on the observation that the analog combiner projects received signals on a particular subspace, causing the signals corresponding to particular DoAs to be heavily attenuated. Thus, an analog combiner defines spatial sectors, beyond which the DoAs are practically undetectable. To address this difficulty, we perform DoA estimation over an exhaustive set of analog combiners spanning distinct subspaces. To refine the estimates generated by this algorithm, we develop an exponentially-converging algorithm wherein the search window is successively narrowed until convergence. Cram & eacute;r-Rao lower bounds on the root-mean-square error of the proposed algorithms are derived and the superiority of these algorithms over their existing counterparts is established through numerical simulations.
引用
收藏
页码:4730 / 4744
页数:15
相关论文
共 50 条
  • [31] Adaptive spatial matrix filter design with application to DOA estimation
    Feng, Jie
    Yang, Yi-Xin
    Sun, Chao
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (20): : 4798 - 4802
  • [32] DOA estimation for coherent sources in beamspace using spatial smoothing
    Yang, YX
    Wan, CR
    Sun, C
    Wang, Q
    ICICS-PCM 2003, VOLS 1-3, PROCEEDINGS, 2003, : 1028 - 1032
  • [33] Robust DOA estimation based on normalized spatial sign function
    Liu, Chun-Jing
    Liu, Feng
    Wang, Wen-Chang
    Zhang, Shu
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2010, 32 (03): : 483 - 486
  • [34] Spatial evolutionary spectrum for DOA estimation and blind signal separation
    Kayhan, AS
    Amin, MG
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (03) : 791 - 798
  • [35] The DOA estimation of spatial stepped-frequency MIMO array
    Sun, Yu-xin
    Zhang, Hong
    He, Shun
    Ren, Jia-lin
    WIRELESS COMMUNICATION AND SENSOR NETWORK, 2016, : 361 - 369
  • [36] Joint Array and Spatial Sparsity Based Optimisation for DoA Estimation
    Chen, Mingyang
    Barnard, Mark
    Wang, Wenwu
    2016 SENSOR SIGNAL PROCESSING FOR DEFENCE (SSPD), 2016, : 139 - 143
  • [37] An enhanced spatial smoothing algorithm for coherent signals DOA estimation
    Qi, Bingbing
    Liu, Dunge
    ENGINEERING COMPUTATIONS, 2022, 39 (02) : 574 - 586
  • [38] Improved DOA estimation via pseudorandom resampling of spatial spectrum
    Gershman, AB
    Bohme, JF
    IEEE SIGNAL PROCESSING LETTERS, 1997, 4 (02) : 54 - 57
  • [39] DOA Estimation Algorithm Based on Adaptive Filtering in Spatial Domain
    Hao Zeng
    Zeeshan Ahmad
    Jianwen Zhou
    Qiushi Wang
    Ya Wang
    中国通信, 2016, 13 (12) : 49 - 58
  • [40] DOA Estimation Based on Spatial Time-frequency Analysis
    Liu, B. S.
    Song, H. Y.
    Shi, J.
    Diao, M.
    Yang, C. Y.
    MECHANICAL, CONTROL, ELECTRIC, MECHATRONICS, INFORMATION AND COMPUTER, 2016, : 80 - 85