Radar adaptive MTI filtering algorithm based on linear prediction method

Moving Target Indication (MTI) technology is an effective means for radar to detect moving targets in clutter environment. In this paper, an adaptive MTI filter is designed based on the linear prediction method and the estimation of clutter spectrum center and spectrum width. By estimating the clutter spectrum center and spectrum width of radar echo signal, the suitable filter weight coefficient is obtained by combining the linear prediction method, and the effect of filtering clutter is achieved. The algorithm complexity of this method is low and the filtering effect is good. In this paper, the centroid method is used to estimate the clutter spectrum center and the integral method is used to estimate the clutter spectrum width. At the same time, the optimized filtering method is linear prediction method with less computation, which can set the notch of the band-stop filter in the center of the clutter spectrum, so that the clutter can be suppressed to the maximum extent. Simulation results show that the proposed method has a good suppression effect on time-varying motion clutter.

Authors

Institutions

Publication Details

Published
2025-03-31
DOI
https://doi.org/10.1117/12.3061594
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radar adaptive MTI filtering algorithm based on linear prediction method

Yunjiao Zhang, Yatao Liu, Wang Li, Yong Luo et al.
Radar Systems and Signal Processing
article

Radar adaptive MTI filtering algorithm based on linear prediction method

Yunjiao Zhang, Yatao Liu, Wang Li, Yong Luo, Qiaoyu Li, Xu Chen, Xiaoxue Li
article en

Abstract

Moving Target Indication (MTI) technology is an effective means for radar to detect moving targets in clutter environment. In this paper, an adaptive MTI filter is designed based on the linear prediction method and the estimation of clutter spectrum center and spectrum width. By estimating the clutter spectrum center and spectrum width of radar echo signal, the suitable filter weight coefficient is obtained by combining the linear prediction method, and the effect of filtering clutter is achieved. The algorithm complexity of this method is low and the filtering effect is good. In this paper, the centroid method is used to estimate the clutter spectrum center and the integral method is used to estimate the clutter spectrum width. At the same time, the optimized filtering method is linear prediction method with less computation, which can set the notch of the band-stop filter in the center of the clutter spectrum, so that the clutter can be suppressed to the maximum extent. Simulation results show that the proposed method has a good suppression effect on time-varying motion clutter.

University of Electronic Science and Technology of China (CN)
Affordable and clean energy
Openalex Percentile: Top 92%
Radar Systems and Signal Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.