A Novel Blind Source Separation Algorithm and Performance Analysis of Weak Signal against Strong Interference in Passive Radar Systems

Abstract

In Passive Radar System, obtaining the mixed weak object signal against the super power signal (jamming) is still a challenging task. In this paper, a novel framework based on Passive Radar System is designed for weak object signal separation. Firstly, we propose an Interference Cancellation algorithm (IC-algorithm) to extract the mixed weak object signals from the strong jamming. Then, an improved FastICA algorithm withK-means cluster is designed to separate each weak signal from the mixed weak object signals. At last, we discuss the performance of the proposed method and verify the novel method based on several simulations. The experimental results demonstrate the effectiveness of the proposed method.

Through-the-Wall Target Separation Using Low-Rank and Variational Mode Decomposition

“…ICA was applied to ground penetrating radar to separate the ground bounce from the buried target returns [25]. In [26], a fast-ICA algorithm in conjunction with K-means clustering was developed to separate target signals obtained from passive radar systems. Zhu et al combined eigenvalue decomposition and ICA to separate multi-component signals from a single-channel radar [27].…”