Research on Suppressing Co-channel Interference of Passive Radar Based on Blind Source Separation Using Second Order Statistics [基于二阶统计量盲源分离算法的无源雷达同频干扰抑制研究]

作者：Lü X.; Sun Z.^*; Liu Z.; Zhang H.; Liu P.

来源：JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2020, 42(5): 1288-1296.

DOI：10.11999/JEIT190178

• Blind source separation
• Co-channel interference suppression
• Long Term Evolution (LTE) signal
• Passive radar
• Second order statistics

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.

• 单位
  中国科学院大学