Radio Direction Finding System Based on Polynomial Manifold Interpolation

被引:0
|
作者
Li S. [1 ,2 ]
Liu Y. [3 ,4 ]
Li X. [1 ]
Yang M. [1 ]
机构
[1] School of Electronic Information Engineering, Beijing Jiaotong University, Beijing
[2] First Research Institute, the Ministry of Public Security of PRC, Beijing
[3] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing
[4] Frontiers Science Center for Smart Highspeed Railway System, Beijing Jiaotong University, Beijing
来源
Binggong Xuebao/Acta Armamentarii | 2023年 / 44卷 / 08期
关键词
array antenna; direction finding; mutual coupling; polynomial manifold interpolation;
D O I
10.12382/bgxb.2022.0320
中图分类号
学科分类号
摘要
An anti-mutual coupling radio direction finding system based on the polynomial manifold interpolation algorithm is proposed, which aims to solve the deterioration of DOA estimation performance caused by mutual coupling. Based on the polynomial manifold interpolation DOA estimation algorithm, the system can effectively resist the mutual coupling effect and realize high-precision DF processing under small manifold samples. In the DOA estimation solution of the algorithm, the analytical formula can be obtained by the processing method of multiple precision interval successive approximation search, which avoids exhaustive search in the direction angle domain. On the basis of algorithm theory analysis and simulation, the prototype of the radio direction finding system based on the embedded processor is designed and tested. The test results show that the proposed system can effectively perform DOA estimation in mutual coupling and realize the real-time and reliable direction finding of LTE downlink signals. © 2023 China Ordnance Society. All rights reserved.
引用
收藏
页码:2486 / 2494
页数:8
相关论文
共 20 条
  • [1] WANG D C., Building a national electromagnetic space security system Safeguarding national interests of electromagnetic space security-Academician Chen Jing on electromagnetic space security, China Information Security, 12, pp. 24-28, (2020)
  • [2] WANG D, WU Y, ZHANG L., Theory and method of radio direction finding and positioning, (2016)
  • [3] LIU M C., Study of the method of radio direction finding, pp. 3-6, (2013)
  • [4] XU Z J, HAN J Y., Overview of radio direction finding system, China Radio Management, 3, pp. 29-35, (2002)
  • [5] ZUO L., Research on computationally efficient localization methods based on phase interferometers, pp. 15-18, (2018)
  • [6] SCHMIDT R O., Multiple emitter location and signal parameter estimation, IEEE Transactions on Antennas and Propagation, 34, 3, pp. 276-280, (1986)
  • [7] PAN J J, SUN M, WANG Y D, Et al., An enhanced spatial smoothing technique with ESPRIT algorithm for direction of arrival estimation in coherent scenarios, IEEE Transactions on Signal Processing, 68, pp. 3635-3643, (2020)
  • [8] PARK H R, LI J., Efficient sparse parameter estimation based methods for two-dimensional DOA estimation of coherent signals, IET Signal Processing, 14, 7, pp. 643-651, (2020)
  • [9] TAO H, XIN J M, WANG J S, Et al., Two-dimensional direction estimation for a mixture of noncoherent and coherent signals [J], IEEE Transactions on Signal Processing, 63, 2, pp. 318-333, (2015)
  • [10] ZHANG C, HUANG H P, LIAO B., Direction finding in MIMO radar with unknown mutual coupling, IEEE Access, 5, pp. 4439-4447, (2017)