Velocity Deambiguation Method for DDMA-MIMO Radar Based on Phase Compensation

In order to address the issues of velocity ambiguity and target energy dispersion in DDMA-MIMO radar, an enhanced velocity defuzzification methodology is presented. Firstly, the repeated distribution of the target's spectrum is exploited to compress the range Doppler spectrum in the Doppler dimension. This results in the conversion n of the two-dimensional detection to the detection of a single distance-dimensional vector. Furthermore, the subarea peak search is employed to replace the Doppler-dimensional CFAR detection within the Doppler dimension, thereby significantly enhancing the detection efficiency. In addition, a DDMA waveform free of empty bands is designed to estimate the target angle while achieving velocity deblurring through phase compensation and digital beam forming algorithms. The efficacy and superiority of the proposed method are demonstrated through a verification process using measured data.

Authors

Institutions

Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1109/itoec63606.2025.10968429
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Velocity Deambiguation Method for DDMA-MIMO Radar Based on Phase Compensation

Haoming Hu, Jingjing Li, Xiyan Sun
Advanced SAR Imaging Techniques
article

Velocity Deambiguation Method for DDMA-MIMO Radar Based on Phase Compensation

Haoming Hu, Jingjing Li, Xiyan Sun
article en

Abstract

In order to address the issues of velocity ambiguity and target energy dispersion in DDMA-MIMO radar, an enhanced velocity defuzzification methodology is presented. Firstly, the repeated distribution of the target's spectrum is exploited to compress the range Doppler spectrum in the Doppler dimension. This results in the conversion n of the two-dimensional detection to the detection of a single distance-dimensional vector. Furthermore, the subarea peak search is employed to replace the Doppler-dimensional CFAR detection within the Doppler dimension, thereby significantly enhancing the detection efficiency. In addition, a DDMA waveform free of empty bands is designed to estimate the target angle while achieving velocity deblurring through phase compensation and digital beam forming algorithms. The efficacy and superiority of the proposed method are demonstrated through a verification process using measured data.

Guilin University of Electronic Technology (CN)
Technology Development
Affordable and clean energy
Openalex Percentile: Top 89%
Advanced SAR Imaging Techniques
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.

Velocity Deambiguation Method for DDMA-MIMO Radar Based on Phase Compensation — Haoming Hu, Jingjing Li, et al. · (2025) | TGRS Research Map | TGRS