logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Doppler Shift Estimation Method for Frequency Diverse Array Radar Based on Graph Signal Processing

delete2025-02-22
delete0
delete
OA
AI
N
Ningbo Xie
H
Haijun Wang
K
Kefei Liao *
S
Shan Ouyang
H
Hanbo Chen
Q
Qinlin Li
DOI：10.3390/rs17050765delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper, a novel Doppler shift estimation method for frequency diverse array (FDA) radar based on graph signal processing (GSP) theory is proposed and investigated. First, a well-designed graph signal model for a monostatic linear FDA is formulated. Subsequently, spectral decomposition is conducted on the constructed signal model utilizing graph Fourier transform (GFT) techniques, enabling the extraction of the target's Doppler shift parameter through spectral peak search. A comprehensive series of simulation experiments demonstrates that the proposed method can achieve the accurate estimation of target parameters even under low signal-to-noise ratio (SNR) conditions. Furthermore, the proposed method exhibits superior performance compared to the MUSIC algorithm, offering enhanced resolution and estimation accuracy. Additionally, the method is highly amenable to parallel processing, significantly reducing the computational burden associated with traditional procedures.
Keywords:
graph signal processing
frequency diverse array
Doppler shift estimation
graph Fourier transform

Journal

Remote Sensing cover
Remote Sensing
IF:
4.1
Papers:
7.1K
Citations:
15.1W

Organization

No organization information available