Estimation of Signal and Array Parameters in the Orientational Beamforming System

被引:1
|
作者
Han, Jiangyan [1 ]
Ng, Boon Poh [1 ]
Er, Meng Hwa [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Direction-of-arrival estimation; Estimation; Array signal processing; Antenna arrays; Interference; Bayes methods; Wireless communication; Orientational beamforming system; orientation of array estimation; direction of arrival estimation; OF-ARRIVAL ESTIMATION; WIDE-BAND SIGNALS; DOA ESTIMATION; RECONSTRUCTION; PERSPECTIVE; TOPS;
D O I
10.1109/TVT.2023.3345487
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
In this paper, the direction of arrival (DOA) and orientation of array (OOA) estimation problems in the recently proposed orientational beamforming (OBF) system are investigated. We show that existing DOA estimation methods can be directly applied to estimate the DOA information in the OBF system. Therefore, this paper mainly focuses on the OOA estimation problem. Three OOA estimation methods are first proposed based on the assumption of accurate DOA estimation. In each method, the OOAs of different transmitting arrays are estimated individually by searching in the one-dimensional parameter space. If the power spectral density (PSD) of the source signal emitted from a transmitting array is known, the OOA of the transmitting array can be estimated by the proposed PSD-based least squares method. Otherwise, the electronical rotation-based OBF (ER-OBF) and single-source-array OBF (SSA-OBF) methods are proposed. In both methods, the OOA of a transmitting array is estimated by detecting the peak in its corresponding orientational beampattern obtained by electronically rotating the receiving array. The electronical rotation of the receiving array is achieved by appropriately delaying received signals according to the DOA of the source signal. Based on the proposed ER-OBF method, the SSA-OBF method further proposes to use a transform matrix to suppress the mutual interference between signals from different transmitting arrays. Simulation results show that the probability of successful estimation of the proposed methods increases as the signal bandwidth and array aperture size increase. Moreover, observing that the DOA estimation error impacts the performance of the proposed OOA estimation methods, a modified random search method is developed to achieve OOA estimation in the presence of DOA estimation error.
引用
收藏
页码:6861 / 6877
页数:17
相关论文
共 50 条
  • [21] Wideband AoA Estimation and Beamforming with Hybrid Antenna Array
    Huang, Xiaojing
    Guo, Y. Jay
    2011 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE (GLOBECOM 2011), 2011,
  • [22] A novel adaptive beamforming scheme for array signal data processing
    Shi, Heping
    Yan, Guanghui
    Hou, Haijing
    Jiang, Xiaoheng
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2023, 2023 (01)
  • [23] Digital Signal Design and Nonlinear Distortions in Antenna Array Beamforming
    Kiviranta, Markku
    Mammela, Aarne
    Paaso, Henna
    Hoyhtya, Marko
    Moilanen, Ilkka
    2009 IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-5, 2009, : 907 - 912
  • [24] Optimum Sparse Array Receive Beamforming for Wideband Signal Model
    Hamza, Syed A.
    Amin, Moeness G.
    2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2018, : 89 - 93
  • [25] Adaptive array beamforming using signal cyclostationarity and finite data
    Huang C.-C.
    Lee J.-H.
    Progress In Electromagnetics Research C, 2011, 21 : 217 - 228
  • [26] Performance Analysis of Array Signal Processing Algorithms for Adaptive Beamforming
    Ganguly, Saurav
    Ghosh, Jayanta
    Kumar, Puli Kishore
    2019 URSI ASIA-PACIFIC RADIO SCIENCE CONFERENCE (AP-RASC), 2019,
  • [27] A novel adaptive beamforming scheme for array signal data processing
    Heping Shi
    Guanghui Yan
    Haijing Hou
    Xiaoheng Jiang
    EURASIP Journal on Wireless Communications and Networking, 2023
  • [28] Optimum Sparse Array Beamforming for General Rank Signal Models
    Hamza, Syed A.
    Amin, Moeness G.
    Fabrizio, Giuseppe
    2018 IEEE RADAR CONFERENCE (RADARCONF18), 2018, : 1343 - 1347
  • [29] Statistical signal processing: Applications to beamforming, detection, and estimation
    Scharf, LL
    MEDICAL IMAGING 2004: ULTRASONIC IMAGING AND SIGNAL PROCESSING, 2004, 5373 : 1 - 17
  • [30] An improved cyclic beamforming method for signal DOA estimation
    El Markhi H.
    Haibala M.M.O.
    Mrabti F.
    Charge P.
    Zouak M.
    Signal, Image and Video Processing, 2007, 1 (3) : 267 - 272