TY - JOUR
T1 - RFI Suppression Method with Improved Eigen Subspace Decomposition for Low-Frequency Radar
AU - Chen, Lin
AU - Xie, Xin
AU - Chen, Youwang
AU - Deng, Yunkai
AU - Du, Xingwang
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Due to the complex electromagnetic environment in the low-frequency band, both useful signals and other radio frequency (RF) signals enter the radar receiver indiscriminately, affecting the operation of the radar. Conventional radio frequency interference (RFI) suppression methods only have a good effect on narrowband interference (NBI). Faced with the complex RF environment, they cannot effectively suppress RFI, especially wideband interference (WBI) in the form of digital terrestrial multimedia broadcast (DTMB). To solve the problem of RFI suppression in the complex electromagnetic environment, an improved eigen subspace decomposition method is proposed in this paper. First, the echo signal matrix is implemented with eigendecomposition to obtain eigenvalues with different distribution characteristics, and the ratio of adjacent eigenvalues is used to detect whether there exists NBI in echo signal. Then, the NBI is modelled and estimated. According to the distribution characteristics of different eigenvalues after NBI suppression, those eigenvalues including WBI are determined by K-means clustering. Then, the interference subspace of WBI is accurately constructed, and the WBI can be suppressed. Through the processing of simulated and measured data, it can be proved that the proposed method can effectively suppress complex RFI.
AB - Due to the complex electromagnetic environment in the low-frequency band, both useful signals and other radio frequency (RF) signals enter the radar receiver indiscriminately, affecting the operation of the radar. Conventional radio frequency interference (RFI) suppression methods only have a good effect on narrowband interference (NBI). Faced with the complex RF environment, they cannot effectively suppress RFI, especially wideband interference (WBI) in the form of digital terrestrial multimedia broadcast (DTMB). To solve the problem of RFI suppression in the complex electromagnetic environment, an improved eigen subspace decomposition method is proposed in this paper. First, the echo signal matrix is implemented with eigendecomposition to obtain eigenvalues with different distribution characteristics, and the ratio of adjacent eigenvalues is used to detect whether there exists NBI in echo signal. Then, the NBI is modelled and estimated. According to the distribution characteristics of different eigenvalues after NBI suppression, those eigenvalues including WBI are determined by K-means clustering. Then, the interference subspace of WBI is accurately constructed, and the WBI can be suppressed. Through the processing of simulated and measured data, it can be proved that the proposed method can effectively suppress complex RFI.
KW - Digital terrestrial multimedia broadcast
KW - Eigen subspace decomposition
KW - K-means Clustering
KW - Radio frequency interference
UR - http://www.scopus.com/inward/record.url?scp=85203145056&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1177
DO - 10.1049/icp.2024.1177
M3 - Conference article
AN - SCOPUS:85203145056
SN - 2732-4494
VL - 2023
SP - 728
EP - 735
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
T2 - IET International Radar Conference 2023, IRC 2023
Y2 - 3 December 2023 through 5 December 2023
ER -