Digital Sub-Array Radar Sum-Difference DOA Estimation Method in the Presence of Mainlobe Following Jamming

被引：0
|
作者：
Yu X. [1 ]
Yan Z. [2 ]
Pan B. [1 ]
Wang B. [2 ]
Cui G. [1 ]
机构：
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu
[2] Southwest China Research Institute of Electronic Equipment, Chengdu
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2023年 / 52卷 / 04期
关键词：
blind source separation; digital sub-array; estimation of the direction of arrival; mainlobe following jamming; sum-difference beams;
D O I：
10.12178/1001-0548.2022283
中图分类号：
学科分类号：
摘要：
Aiming at the estimation problem of the Direction of Arrival (DOA) of weak targets in the presence of strong mainlobe interference for digital sub-array radar, this paper proposes a sum-difference beam angle measurement method. Firstly, a receiving model of the mainlobe interference and target echo under the multisubarray sum-difference beam structure is established. Then, according to the uncorrelated characteristics of the target echo and the interference signal in the time domain, blind source separation is used for each sub-array to separates the target echo and interference signal, and monopulse angle measurement technology is used to achieve target/interference DOA estimation via combining the target echo/interference signal separated by each sub-array. Finally, the effectiveness and analysis performance of this method is verified by numerical simulation experiment. © 2023 Univ. of Electronic Science and Technology of China. All rights reserved.
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页码：498 / 505
页数：7
相关论文
共 24 条
  • [1] CHEN H, WANG Y L., Interference jamming DOA estimation algorithm, Antennas and Propagation Society International Symposium, pp. 358-361, (2005)
  • [2] LIU B Y, GUAN G, MATSUSHITA S Y, Et al., Compressive sensing based direction-of-arrival estimation in MIMO radars in presence of strong jamming via blocking matrix, 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 292-296, (2018)
  • [3] CHEN H, SU H J., A new approach to estimate DOA in presence of strong jamming/signal suppression, ACTA ELECTRONICA SINICA, 34, 3, pp. 530-534, (2006)
  • [4] QU J Y, LI X, WEN Y J., A new method for weak signals' DOA estimation in the presence of strong interferences, IEEE International Conference on Signal Processing, pp. 320-323, (2012)
  • [5] DONG H, XU T T, WANG C., Two-Dimensional weak signal DOA estimation based on corrected projection jam method in the presence of strong interference, Journal of Signal Processing, 29, 2, pp. 221-227, (2013)
  • [6] YU K B., Adaptive digital beamforming for super-resolution angle estimation in jamming, 2009 IEEE Radar Conference, pp. 1-4, (2009)
  • [7] ZHOU C W, ZHENG H, GU Y J, Et al., Research progress on coprime array signal processing: direction-of-arrival estimation and adaptive beamforming, Journal of Radars, 8, 5, pp. 558-577, (2019)
  • [8] SHU T, CHEN X Z, YU K B, Et al., Multiple jamming cancellation using adaptive sub-array DBF for angle estimation, Modern Radar, 38, 12, pp. 22-26, (2016)
  • [9] CHEN M J, HU Z B, CHEN L, The algorithm for direction-of-arrival for uncorrelated and coherent signals estimation in the presence of unknown nonuniform noise fields, Journal of Signal Processing, 35, 2, pp. 168-175, (2019)
  • [10] GE M M, CUI G L, YU X X, Et al., Mainlobe jamming suppression via blind source separation, 2018 IEEE Radar Conference, pp. 914-918, (2018)
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