| Citation: | Xiaode LÜ, Zhenghao SUN, Zhongsheng LIU, Hanliang ZHANG, Pingyu LIU. Research on Suppressing Co-channel Interference of Passive Radar Based on Blind Source Separation Using Second Order Statistics[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1288-1296. doi: 10.11999/JEIT190178
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For the problem of co-frequency base station interference in passive radar based on Long Term Evolution (LTE) signal, an algorithm based on blind source separation using second order statistics is proposed. The presented algorithm is based on convolution mixed model, and achieves the minimum correlation among separated signals through multi-channel Least-Mean-Square (LMS) algorithm. Without statistical correlation among the signals of each transmitting base station, the separation of the observed signals is completed when the separated signals achieve the minimum correlation. On this basis, the traditional signal processing for passive radar is improved. The steps of separating co-frequency interference clutter consisting of both direct-path and multipath clutter are added, which can suppress the clutter interference of co-channel base station. Simulation and analysis verify the effectiveness of the algorithm. The algorithm provides a reference for data processing of passive radar based on LTE signal.
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