Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

被引:9
|
作者
Wang, Jinfu [1 ,2 ]
Yang, Feiran [3 ]
Yang, Jun [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Acoust, Key Lab Noise & Vibrat Res, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Inst Acoust, State Key Lab Acoust, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Jacobian matrices; Weight measurement; Array signal processing; Mean square error methods; Apertures; White noise; Frequency measurement; Uniform circular array; frequency-invariant beamformer; minimum mean square error; ARRAYS; ROBUST; DESIGN; GAIN;
D O I
10.1109/LSP.2022.3224687
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
This letter provides new insights into the minimum mean square error (MMSE)-based frequency-invariant beam former with the uniform circular array (FIB-UCA). By exploiting the symmetry of the UCA, we derive an explicit form of the white noise gain (WNG), the directivity factor (DF) and the MSE, and also derive the corresponding approximate expressions at low frequencies. We then investigate the impact of the look direction on the performance of the MMSE-based FIB-UCA. Interestingly, we further prove that fora UCA with the fixed aperture, the MMSE-based FIB with 2 N microphones achieves a similar WNG as that with 4 N microphones at low frequencies if the Nth-order beampattern is steered to microphone angles. We also derive a unified explicit form of weighting vector and reveal that the MMSE-based FIB-UCA reduces to the Jacobi-Anger expansion-based differential beam former with the UCA at low frequencies.
引用
收藏
页码:2432 / 2436
页数:5
相关论文
共 50 条
  • [1] Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface
    Yang, Zihan
    Chen, Peng
    Guo, Ziyu
    Ni, Dahai
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 2397 - 2401
  • [2] ONE-BIT SPARSE ARRAY DOA ESTIMATION
    Liu, Chun-Lin
    Vaidyanathan, P. P.
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 3126 - 3130
  • [3] Low-cost Beamforming-based DOA Estimation with Model Order Determination
    Aboutanios, Elias
    Hassanien, Aboulnasr
    [J]. 2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2020,
  • [4] Classification-Based One-Bit DOA Estimation for Sparse Arrays
    Chen, Yanping
    Wang, Chen
    Gao, Yulong
    [J]. IEEE ACCESS, 2020, 8 : 204891 - 204901
  • [5] DOA estimation using one-bit quantized measurements
    Bar-Shalom, O
    Weiss, AJ
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2002, 38 (03) : 868 - 884
  • [6] Federated Edge Learning via Reconfigurable Intelligent Surface with One-Bit Quantization
    Li, Heju
    Wang, Rui
    Wu, Jun
    Zhang, Wei
    [J]. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 1055 - 1060
  • [7] Quantization Beam Analysis and Codebook Design for One-Bit Reconfigurable Intelligent Surface
    Liu, Yihong
    Gao, Feifei
    Zhang, Lei
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (07) : 1793 - 1797
  • [8] ONE-BIT DOA ESTIMATION VIA SPARSE LINEAR ARRAYS
    Sedighi, Saeid
    Shankar, Bhavani
    Soltanalian, Mojtaba
    Ottersten, Bjorn
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 9135 - 9139
  • [9] Low-Complexity One-Bit DOA Estimation for Massive ULA with a Single Snapshot
    Ge, Shaodi
    Fan, Chongyi
    Wang, Jian
    Huang, Xiaotao
    [J]. REMOTE SENSING, 2022, 14 (14)
  • [10] On the Performance of One-Bit DoA Estimation via Sparse Linear Arrays
    Sedighi, Saeid
    Mysore, Bhavani Shankar R.
    Soltanalian, Mojtaba
    Ottersten, Bjorn
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 : 6165 - 6182