Supercharge Your Innovation With Domain-Expert AI Agents!

Particle filter tracking before detection method for targets with discontinuous characteristics

A particle filter, discontinuous technology, applied in radio wave measurement systems, measuring devices, re-radiation of sound waves, etc., can solve the problem of not considering the estimation of signal discontinuity characteristics and the uncertainty of target signal, etc.

Active Publication Date: 2021-03-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods do not consider the uncertainty of the target signal emission, let alone the estimation of the discontinuous characteristics of the signal

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
  • Particle filter tracking before detection method for targets with discontinuous characteristics
  • Particle filter tracking before detection method for targets with discontinuous characteristics
  • Particle filter tracking before detection method for targets with discontinuous characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention mainly adopts the method of simulation experiment to verify, and all steps and conclusions are verified on MATLAB-R2017b. The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0056] Such as figure 1 As shown, a kind of tracking method before particle filter detection of the target with discontinuous characteristic of the present invention, comprises the following steps:

[0057] S1. Initialize system parameters; define a binary indicator function f(t k ):

[0058]

[0059] Among them, t k = k T, k represents the iteration coefficient, T represents the system sampling interval;

[0060] According to the binary indicator function f(t k ) defines the signal emission time series:

[0061]

[0062] Such as figure 2 As shown, a schematic diagram of a discontinuous signal is given. Initialize the system parameters, including: system sampling interval T = 1s, total t...

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 tracking method before particle filter detection for a target with discontinuous characteristics, comprising the following steps: S1, initializing system parameters; S2, reading original measurement data; S3, calculating the likelihood ratio of the original measurement data , use the likelihood ratio criterion to estimate the discontinuous characteristics of the target; S4, use the particle filter to realize the estimation of the target motion state; S5, let the iteration coefficient k=k+1, judge t k > Whether L is true, if so, the algorithm ends; otherwise, return to step S2; wherein, L represents the total tracking time. The invention solves the problem of tracking before detection for targets with discontinuous characteristics, brings the discontinuous characteristics of targets into the Bayesian tracking process, and can realize the joint estimation of discontinuous motion states and their signal discontinuous characteristics. The method of the invention avoids the threshold detection, preserves all the information of the original measurement as much as possible, and improves the detection ability of weak targets.

Description

technical field [0001] The invention belongs to the technical field of passive sensor system target detection and tracking, in particular to a particle filter tracking method before detection for targets with discontinuous characteristics. Background technique [0002] The passive sensing mechanism has important application significance in both military and civilian fields: 1) The passive detection system itself does not emit high-power signals, which reduces the exposure opportunity of the platform, and has high concealment and strong survivability. 2) The target recognition ability is strong. By intercepting the emission source data, the characteristics of the target are identified, and the attribute, quantity and working status of the target are determined. 3) Small in size and light in weight, it saves electronic equipment related to transceiver level, and the system cost is low. It can be seen that the passive sensing mechanism has many advantages and has broad develop...

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 Patents(China)
IPC IPC(8): G01S13/66G01S15/66
CPCG01S13/66G01S15/66
Inventor 杨晓波付玲枝杨琪库飞龙易伟李溯琪孔令讲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More