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Acta Armamentarii ›› 2021, Vol. 42 ›› Issue (8): 1670-1679.doi: 10.3969/j.issn.1000-1093.2021.08.011

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A Co-channel Interference Suppression Algorithm for LTE-based Passive Radar

SHAO Xiaolang1, HU Taiyang1, XIAO Zelong1, WEI Yongping2, WANG Hua3   

  1. (1.School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China;2.Huaihai Industry Group Co.,Ltd., Changzhi 046012, Shanxi, China; 3.Research and Development Center, China Academy of Launch Vehicle Technology, Beijing 100076, China)
  • Online:2021-09-15

Abstract: The traditional co-channel interference suppression algorithms of LTE (long-term evolution)-based passive radar adopt the strategy of cancelling or suppressing the co-channel interference. They are widely used and can be applied to various illuminators of opportunity external radiation source radar. However, there are few studies on co-channel interference suppression by utilizing the characteristics of LTE signal. A co-channel interference suppression algorithm, which combines the sources separation technique and characteristics of LTE signal, is proposed. The proposed algorithm is used to estimate the direction of arrival of incident signals, obtain the mixing matrix, and separate the signals based on the least square method. Then the parallel cross-ambiguity correlation of the separated source signals is executed. The differences among the LTE main base station signal, the co-channel interference and the target echo in the distance-Doppler domain are used to identify the target. Simulated results show that the proposed algorithm has better suppression performance compared to the traditional co-channel interference suppression algorithms, and avoids the traditional clutter cancellation process. Meanwhile, the extra time assumption caused by multiple calculations of cross-ambiguity correlation can be reduced by means of parallel operation.

Key words: passiveradar, longtermevolutionsignal, co-channelinterferencesuppression, estimationofthedirectionofarrival, cross-ambiguitycorrelation

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