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

Compressive sensing theory-based Doppler ambiguity-resolution processing method

A technology of defuzzification processing and compressed sensing, which is applied in the field of Doppler defuzzification processing based on the theory of compressed sensing, can solve the problems of N target defuzzification, the multiplicity limit of the number of targets to be detected, etc., and achieve the effect of avoiding false values

Inactive Publication Date: 2011-02-16
BEIHANG UNIV +1
View PDF0 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A common defect of these methods is that at least N+1 different PRF values ​​are required for the defuzzification of N targets, and each target is required to be detectable under at least N+1 PRFs, so that The number of targets to be detected is limited by the multiplicity of the PRF used by the radar system

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
  • Compressive sensing theory-based Doppler ambiguity-resolution processing method
  • Compressive sensing theory-based Doppler ambiguity-resolution processing method
  • Compressive sensing theory-based Doppler ambiguity-resolution processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] In the present invention, the time-domain subsampling characteristics and the sparse characteristics of the Doppler spectrum in the coherent processing interval under the multiple PRF mode are used to construct the CS model of the Doppler defuzzification, and the orthogonal matching tracking reconstruction algorithm is used to directly estimate Amplitude response of unambiguous Doppler spectrum. The Doppler defuzzification processing method based on compressed sensing theory of the present invention, its implementation process is as follows figure 1 As shown, it specifically includes the following four steps:

[0034] 1. Non-uniform sampling of consecutive echo pulses during the total coherent processing period using Q-repeated PRF values

[0035] PRF is a key parameter of pulsed radar waveform, for a given PRF value f R , the unamb...

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 discloses a compressive sensing theory-based Doppler ambiguity-resolution processing method, which comprises the following steps of: (1) performing non-uniform sampling on continuous echo pulses in a totally-coherent processing period by utilizing Q-fold pulse repetition frequency values; (2) designing the possible Doppler frequency range of a target, and ensuring the Q-fold pulse repetition frequency values do not have Doppler dead zones in the Doppler frequency range; (3) constructing a compressive sensing (CS) model by utilizing the time-domain under-sampling characteristics of sampled data in the totally-coherent processing period and the sparse characteristics of frequency spectrums of the target to be detected in the possible Doppler frequency range; and (4) resolving the CS model by utilizing an orthogonal matching pursuit (OMP) reconstruction algorithm to directly estimate the amplitude response of ambiguity-free Doppler spectrums. The method eliminates the restriction of the PRF multiplicity adopted by a radar system to the number of the targets to be detected, and simultaneously avoids the condition of false values caused by the influence of measurement errors in the conventional methods by taking the influence of noise on reconstruction results into account and performing de-noising operation when the CS model is resolved to estimate the amplitude response of the ambiguity-free Doppler spectrums by adopting the OMP reconstruction algorithm.

Description

technical field [0001] The invention belongs to the field of target detection and relates to a Doppler defuzzification processing method based on compressed sensing theory. Background technique [0002] Pulse Doppler (PD) technology has good clutter suppression performance, and has been widely used in radar, especially in airborne radar. According to different requirements, PD radar can work in low repetition frequency, medium repetition frequency and high repetition frequency. Among them, there is no distance ambiguity in the low repetition frequency mode, but there is generally serious Doppler (velocity) ambiguity for air targets. Ground and shipborne long-range radars generally use low repetition frequency methods in order to obtain reliable target distance measurements during detection, and airborne PD radars also usually use low repetition frequency methods in the case of upward viewing. In order to obtain a more accurate target radial velocity measurement value, the ...

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): G01S7/295
Inventor 孙进平田继华张冰尘洪文
Owner BEIHANG 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