Fast-Moving Target Detection With Frequency Diverse Element-Pulse Coding Radar

This article investigates the detection of fast-moving targets in a frequency diverse (FD) element-pulse coding (EPC) radar. At the modeling stage, the nonoverlapping linear frequency modulation waveforms are transmitted, and the wide spatial coverage is obtained by applying a bandwidth-level frequency offset (FO) across the adjacent transmit elements. In addition, the EPC factor is utilized to distinguish different transmit pulses. At the receiver, the received echo is first processed through a bank of FO-dependent matched filters, which is followed by a decoding procedure to separate the transmitted waveforms and to extract echoes from different range ambiguous regions. Then, for the subsequent moving target detection, a modified keystone transform is performed to correct the linear range migration resulted from fast movement of the target. In addition, a compensation procedure is designed to eliminate the incoherence between echoes from different transmit elements, which is resulted from frequency diversity. Furthermore, in order to achieve high range resolution corresponding to the overall transmit bandwidth, a spectrum splicing method based on 2-D beamforming is proposed, where the angle and range ambiguity index are estimated in the joint transmit–receive domain based on maximum likelihood, and the weight vector is constructed. Finally, coherent processing in the Doppler domain is implemented for the spliced echo to focus the target. Numerical results are provided to verify the effectiveness of the proposed method for detecting the fast-moving target within the FD-EPC architecture.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-02-18
DOI
https://doi.org/10.1109/taes.2025.3543462
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast-Moving Target Detection With Frequency Diverse Element-Pulse Coding Radar

Lan Lan, Shengqi Zhu, Yanxing Wang, Guisheng Liao et al.
1 citations
IEEE Transactions on Aerospace and Electronic Systems
Radar Systems and Signal Processing
4.99
article

Fast-Moving Target Detection With Frequency Diverse Element-Pulse Coding Radar

Lan Lan, Shengqi Zhu, Yanxing Wang, Guisheng Liao, Ximin Li
article en
1 citations

Abstract

This article investigates the detection of fast-moving targets in a frequency diverse (FD) element-pulse coding (EPC) radar. At the modeling stage, the nonoverlapping linear frequency modulation waveforms are transmitted, and the wide spatial coverage is obtained by applying a bandwidth-level frequency offset (FO) across the adjacent transmit elements. In addition, the EPC factor is utilized to distinguish different transmit pulses. At the receiver, the received echo is first processed through a bank of FO-dependent matched filters, which is followed by a decoding procedure to separate the transmitted waveforms and to extract echoes from different range ambiguous regions. Then, for the subsequent moving target detection, a modified keystone transform is performed to correct the linear range migration resulted from fast movement of the target. In addition, a compensation procedure is designed to eliminate the incoherence between echoes from different transmit elements, which is resulted from frequency diversity. Furthermore, in order to achieve high range resolution corresponding to the overall transmit bandwidth, a spectrum splicing method based on 2-D beamforming is proposed, where the angle and range ambiguity index are estimated in the joint transmit–receive domain based on maximum likelihood, and the weight vector is constructed. Finally, coherent processing in the Doppler domain is implemented for the spliced echo to focus the target. Numerical results are provided to verify the effectiveness of the proposed method for detecting the fast-moving target within the FD-EPC architecture.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(4)
Xidian University (CN)
Openalex Percentile: Top 7%
Radar Systems and Signal Processing
4.99
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.