Journal Article

A Segmented Sliding Window Reference Signal Reconstruction Method Based on Fuzzy C-Means

Qiao, Xingshuai, Liang, Haobo, Zhang, Yushi, Shan, Tao, Wang, Zhi, Feng, Yuan

2024

Overview

Reference signal reconstruction serves as a crucial technique for suppressing multipath interference and noise in the reference channel of passive radar. Aiming at the challenge of detecting Low-Slow-Small (LSS) targets using Digital Terrestrial Multimedia Broadcasting (DTMB) signals, this article proposes a novel segmented sliding window reference signal reconstruction method based on Fuzzy C-Means (FCM). By partitioning the reference signals based on the structure of DTMB signal frames, this approach compensates for frequency offset and sample rate deviation individually for each segment. Additionally, FCM clustering is utilized for symbol mapping reconstruction. Both simulation and experimental results show that the proposed method significantly suppresses constellation diagram divergence and phase rotation, increases the adaptive cancellation gain and signal-to-noise ratio (SNR), and in the meantime reduces the computation cost.

• Publisher: MDPI AG
• Subject: Clustering / cost effectiveness / Digital broadcasting / Digital Terrestrial Multimedia Broadcasting (DTMB) / exhibitions / Fourier transforms / Fuzzy algorithms / Fuzzy C-Means / Fuzzy logic / Fuzzy systems / Methods / Multimedia / passive radar / physical phases / radar / Radar systems / Receivers & amplifiers / reference signal reconstruction / Reference signals / remote sensing / sampling / segmented sliding window / Signal processing / Signal reconstruction / Signal to noise ratio / Sliding / Target detection / Technology application / Transmitters / Unmanned aerial vehicles / windows