Radio interference source direction-finding and positioning method based on particle filter algorithm

A particle filter algorithm and radio interference technology, applied in radio wave measurement systems, beacon systems using radio waves, positioning and other directions, which can solve the problems of inaccurate direction finding positioning results, limited antenna height, and positioning results errors.

Active Publication Date: 2015-05-20
国家无线电监测中心
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the situation that in the existing vehicle-mounted monitoring system, due to the limited height of the antenna and the influence of the reflection of surrounding buildings in actual work, the result of direction finding and positioning is inaccurate, and the error of the positioning result of the existing direction finding and positioning method is relatively large For the problem, a particle filter algorithm-based method for direction finding and positioning of radio interference sources is provided

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
  • Radio interference source direction-finding and positioning method based on particle filter algorithm
  • Radio interference source direction-finding and positioning method based on particle filter algorithm
  • Radio interference source direction-finding and positioning method based on particle filter algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0041] Under the premise of not changing the hardware system of the original radio monitoring vehicle, the present invention considers that the particle filter algorithm is just an estimation algorithm for estimating nonlinear problems using statistical methods 20. After studying the mechanism of the particle filter algorithm, the particle filter When the filter algorithm is applied in the direction finding and positioning of radio interference sources, the selection of the importance density function, the sample degradation problem and the resampling method, convergence and other issues have been theoretically studied, the particle filter algorithm has been improved, and the improved particle filter algorithm has been used in radio In the direction finding and positioning system of the mobile monitoring vehicle, in order to improve the positioning acc...

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 provides a radio interference source direction-finding and positioning method based on a particle filter algorithm, and belongs to the technical field of radio direction-finding and positioning. The method comprises the steps of selecting a position coordinate of an interference source objective to be a state variable and a direction of arrival to be an observational variable; generating an initial particle assembly by using historical measuring data; calculating and normalizing the weights of all samples in the particle assembly; setting thresholds and re-sampling; weighting and calculating target state estimated values; screening the target state estimated values; sampling and generating a new sample to enter next circulation calculation; finally outputting an estimated target status value. According to the method provided by the invention, under the precondition that a hardware system of an original radio monitoring car is not changed, the particle filter algorithm is used in a direction-finding and positioning system of the radio mobile monitoring car, therefore the precision of finding radio interference sources in a complicate urban environment can be greatly improved, a more perfect and accurate measurement method can be provided to radio management operation, and the creative social application value can be realized.

Description

technical field [0001] The invention belongs to the technical field of radio direction finding and positioning, and in particular relates to a method for direction finding and positioning of radio interference sources based on a particle filter algorithm. Background technique [0002] With the increasing development of radio communication services, people's demand for radio spectrum resources is also increasing, resulting in increasingly scarce spectrum resources. The ever-increasing radio interference phenomenon is a serious threat to the reasonable order of national radio communications and the rights and interests of legitimate users. Rationally allocating and managing the limited spectrum is an important task for the country to maintain the order of radio communications and protect the legitimate rights and interests of legitimate users. It can be seen that the investigation of radio interference is an important task of the national radio management department. In 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): G01S5/02G01S1/02
CPCG01S1/02G01S5/02
Inventor 李景春杜太行江春冬张小飞宋柯平卢茹黄伟宁魏文
Owner 国家无线电监测中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products