Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Radar moving target detection method based on short-time sparse fractional Fourier transform (ST-SFRFT)

A fractional-order Fourier transform and moving target detection technology, which is applied in measuring devices, radio wave measurement systems, radio wave reflection/reradiation, etc., can solve the problem of large amount of calculation, lack of time domain positioning, and failure to reflect signal frequency Variable characteristics and other issues, to achieve high parameter estimation accuracy, ensure energy accumulation, and improve the effect of SCR

Active Publication Date: 2017-03-22
NAVAL AVIATION UNIV
View PDF4 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method cannot reflect the time-varying characteristics of the signal frequency, nor can the signal processing of non-uniform moving targets
Fractional Fourier Transform (FRFT) has good energy aggregation and detection performance for uniformly accelerating moving targets, but it requires rotation angle matching search, which has a large amount of calculation, and lacks the function of time domain positioning, so it cannot Analysis of the local frequency characteristics of the signal at any time

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Radar moving target detection method based on short-time sparse fractional Fourier transform (ST-SFRFT)
  • Radar moving target detection method based on short-time sparse fractional Fourier transform (ST-SFRFT)
  • Radar moving target detection method based on short-time sparse fractional Fourier transform (ST-SFRFT)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In order to explain the sparse time-frequency representation of the moving target echo signal involved in the present invention, a Time-Frequency Distribution (TFD) model of the time-varying non-stationary signal is first given.

[0022] After pulse compression, the radar moving target signal can be modeled as a Frequency Modulated (FM) signal with amplitude fluctuations, namely

[0023]

[0024] In the formula, a(t m ) is the envelope of the signal, t m is the slow time between pulses, is the signal phase.

[0025] In practical engineering applications, according to the length of radar observation and signal accumulation time, the echo signal of the maneuvering target can be approximated as a Linear FM (LFM) signal to describe the velocity and acceleration motion state of the target. Although high-order phase signals (such as quadratic frequency modulation signals or polynomial signals) can more accurately describe time-varying signals, the subsequent coherent a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a radar moving target detection method based on short-time sparse fractional Fourier transform (ST-SFRFT), and belongs to the technical field of radar signal processing and detection. The method comprises the steps of: performing radar echo demodulation and pulse compression to realize high range resolution, and selecting a range unit to be detected; performing spare time-frequency analysis parameter initialization, comprising selection of a short-time window function and a window length and design of a sparse decomposition dictionary; performing ST-SFRFT operation for spare optimization solution, thus completing high-resolution spare time-frequency representation of moving target echo; traversing all range search units, performing moving target signal spare domain detection and estimating a target moving parameter. By adopting a high-resolution spare representation method, high-resolution and low-complexity time-frequency representation of time-varying signals is realized at the time frequency-spare domain; and the method is suitable for analyzing the time varying non-stability of signals, suppresses background clutter while improving energy concentration of moving target signals, and significantly improves the radar moving target detection and parameter estimation capability.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing and detection. More specifically, the invention relates to a radar moving target detection method based on short-time sparse fractional Fourier transform, which can be used for radar detection processing of weak moving targets in complex environments. Background technique [0002] As the main means of target detection and surveillance, radar is widely used in the fields of public safety and national defense. However, affected by the complex environment and the complex motion characteristics of the target, the target echo is extremely weak and has low observability, which makes it difficult for the detection performance of the radar to meet the actual needs of the moving target in the clutter background. The detection technology of low-observable moving targets in clutter has become a key restrictive factor and a worldwide problem. Radar low observable moving targets mainly include...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S13/88
CPCG01S7/415G01S13/88
Inventor 陈小龙关键薛永华于晓涵张林丁昊何友
Owner NAVAL AVIATION UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products