Target Detection and Direction Finding with HF Radars Based on Time-Frequency Analysis

ZHOU Hao; WEN Bi-yang; WU Shi-cai; MA Zhi-gang

您当前的位置：

首页 >

文章列表页 >

Target Detection and Direction Finding with HF Radars Based on Time-Frequency Analysis

更新时间：2025-07-16

- Target Detection and Direction Finding with HF Radars Based on Time-Frequency Analysis
- Acta Electronica Sinica Vol. 33, Issue 12, Pages: 2265-2268(2005)
- 作者机构：
  
  武汉大学电子信息学院,湖北,武汉,430079
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN958.93
- Published：2005
- 稿件说明：
移动端阅览
ZHOU Hao, WEN Bi-yang, WU Shi-cai, et al. Target Detection and Direction Finding with HF Radars Based on Time-Frequency Analysis[J]. Acta Electronica Sinica, 2005, 33(12): 2265-2268.
DOI：

ZHOU Hao, WEN Bi-yang, WU Shi-cai, et al. Target Detection and Direction Finding with HF Radars Based on Time-Frequency Analysis[J]. Acta Electronica Sinica, 2005, 33(12): 2265-2268. DOI：

摘要

针对宽波束高频雷达对非平稳目标探测的问题

提出了一种新的基于线性时频分析的目标检测与定向方法

即先从时频面上检测出目标的时频脊

然后沿脊线对线性时频表示采样形成阵列快拍

进行空间谱估计.分析了目标横向运动对空间谱估计的影响

提出了横向运动补偿及目标时变方位和横向速度估计的方法.雷达实测数据处理表明

本文方法能有效地应用于宽波束高频雷达对非平稳目标的探测中.

Abstract

A novel method for non-stationary target detection and direction finding with broad-beam high-frequency(HF) radars based on time-frequency analysis is proposed.Target ridges on the time-frequency representation (TFR) of the echo data are detected

and then array snapshots are formed by sampling the TFR along the ridges

which are finally used to calculate the spatial spectra.Furthermore

the effects on target direction finding due to the cross-range motion of the target are analyzed

and a motion-compensation method is developed

which can effectively estimate the time-variant direction as well as the cross-range velocity of the target.Radar echo signal processing results show the validness of the above methods for the detection and direction finding of non-stationary targets with broad-beam HF radars.

关键词

Keywords

references

Views

2117

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

HF Radar Radio Frequency Interference Suppression Based on Time-Frequency Analysis

Sparse Time-Varying Modeling and Time-Frequency Representation of EEG Data Using Scale-Adaptive Multiwavelet

Radar Signal Modulation Recognition Based on Split EfficientNet Under Low Signal-to-Noise Ratio

A Space-Frequency Block Code Recognition Based on Deep Multilevel Residual Network with Low SNR

Related Author

ZHOU Hao

WEN Bi-yang

WU Shi-cai

LIU Xiao-feng

ZHENG Nan

LI Yu-rong

SHI Wu-xiang

TAN Ji-yu

Related Institution

Electronic Engineering Dept.Shanghai Jiaotong Univ.Shanghai 200030China

Electronic Information SchoolWuhan UniversityWuhanHubei 430079China

Electronic Engineering Dept.,Shanghai Jiaotong Univ.

Electronic Information School, Wuhan University

Fujian Key Laboratory of Medical Instrument and Pharmaceutical Technology

⁰