Efficient Transmit Beamspace Design for Search-Free Based DOA Estimation in MIMO Radar

被引:102
|
作者
Khabbazibasmenj, Arash [1 ]
Hassanien, Aboulnasr [1 ,2 ]
Vorobyov, Sergiy A. [1 ,3 ]
Morency, Matthew W. [1 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
[2] Aswan Univ, Dept Elect Engn, Aswan, Egypt
[3] Aalto Univ, Dept Signal Proc & Acoust, Espoo, Finland
基金
加拿大自然科学与工程研究理事会;
关键词
Direction-of-arrival estimation; parameter estimation; phased-MIMO radar; semidefinite programming relaxation; transmit beamspace design; PHASED-ARRAY; OPTIMIZATION;
D O I
10.1109/TSP.2014.2299513
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, we address the problem of transmit beamspace design for multiple-input multiple-output (MIMO) radar with colocated antennas in application to direction-of-arrival (DOA) estimation. A new method for designing the transmit beamspace matrix that enables the use of search-free DOA estimation techniques at the receiver is introduced. The essence of the proposed method is to design the transmit beamspace matrix based on minimizing the difference between a desired transmit beampattern and the actual one while enforcing the constraint of uniform power distribution across the transmit array elements. The desired transmit beampattern can be of arbitrary shape and is allowed to consist of one or more spatial sectors. The number of transmit waveforms is even but otherwise arbitrary. To allow for simple search-free DOA estimation algorithms at the receive array, the rotational invariance property is established at the transmit array by imposing a specific structure on the beamspace matrix. Semidefinite programming relaxation is used to approximate the proposed formulation by a convex problem that can be solved efficiently. We also propose a spatial-division based design (SDD) by dividing the spatial domain into several subsectors and assigning a subset of the transmit beams to each subsector. The transmit beams associated with each subsector are designed separately. Simulation results demonstrate the improvement in the DOA estimation performance offered by using the proposed joint and SDD transmit beamspace design methods as compared to the traditional MIMO radar technique.
引用
收藏
页码:1490 / 1500
页数:11
相关论文
共 50 条
  • [1] Tensor Decomposition Based DOA Estimation for Transmit Beamspace MIMO Radar
    Xu, Feng
    Morency, Matthew W.
    Vorobyov, Sergiy A.
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 1871 - 1875
  • [2] Transmit beamspace-based DOD and DOA estimation method for bistatic MIMO radar
    Xu, Baoqing
    Zhao, Yongbo
    SIGNAL PROCESSING, 2019, 157 : 88 - 96
  • [3] Search-Free DOD, DOA and Range Estimation for Bistatic FDA-MIMO Radar
    Cui, Can
    Xu, Jian
    Gui, Ronghua
    Wang, Wen-Qin
    Wu, Wen
    IEEE ACCESS, 2018, 6 : 15431 - 15445
  • [4] Transmit Beamspace Design for Bistatic MIMO Radar With Improved Angle Estimation
    Huang, Zhongrui
    Tang, Bo
    Wang, Hai
    Qin, Lilong
    IEEE ACCESS, 2019, 7 : 106204 - 106212
  • [5] DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition With Vandermonde Factor Matrix
    Xu, Feng
    Morency, Matthew W.
    Vorobyov, Sergiy A.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 2901 - 2917
  • [6] Transmit Beamspace-Based Unitary Parallel Factor Method for DOD and DOA Estimation in Bistatic MIMO Radar
    Xu, Baoqing
    Zhao, Yongbo
    IEEE ACCESS, 2018, 6 : 65573 - 65581
  • [7] CONSTRAINED TENSOR DECOMPOSITION FOR 2D DOA ESTIMATION IN TRANSMIT BEAMSPACE MIMO RADAR WITH SUBARRAYS
    Xu, Feng
    Vorobyov, Sergiy A.
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 4380 - 4384
  • [8] MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression
    Li, Yuxiang
    Gu, Shuainan
    Zheng, Nae
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2016, 2016
  • [9] PARTIALLY ADAPTIVE TRANSMIT BEAMFORMING FOR SEARCH FREE 2D DOA ESTIMATION IN MIMO RADAR
    Morency, Matthew W.
    Vorobyov, Sergiy A.
    2015 23RD EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2015, : 2631 - 2635
  • [10] A search-free DOA estimation algorithm for coprime arrays
    Weng, Zhiyuan
    Djuric, Petar M.
    DIGITAL SIGNAL PROCESSING, 2014, 24 : 27 - 33