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

A multi-objective passive co-localization method based on multi-hypothesis quasi-Monte Carlo

A quasi-Monte Carlo and cooperative positioning technology, applied in the field of multi-target passive cooperative positioning based on multi-hypothesis pseudo-Monte Carlo, can solve the problems of low observable target track initiation and maintenance, and improve target positioning and tracking Accuracy, the effect of improving real-time performance

Active Publication Date: 2018-02-16
HANGZHOU CCRFID MICROELECTRONICS
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to solve the problem of track initiation and maintenance of low observable targets in the PCL system when the number of targets is unknown, the present invention proposes a multi-target passive co-location method

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
  • A multi-objective passive co-localization method based on multi-hypothesis quasi-Monte Carlo
  • A multi-objective passive co-localization method based on multi-hypothesis quasi-Monte Carlo
  • A multi-objective passive co-localization method based on multi-hypothesis quasi-Monte Carlo

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described below in conjunction with accompanying drawing.

[0027] figure 1 It is a schematic diagram of the dual-base station PCL system of the present invention. figure 1 Among them, Tx represents the external radiation source, Rx represents the receiving station, Ο 1 Indicates the first target, Ο 2 Indicates the second target, Ο j represents the jth target, means Ο 1 distance from Rx, means Ο 2 distance from Rx, means Ο j distance from Rx, means Ο 1 distance from Tx, means Ο 2 distance from Tx, means Ο j Distance from Tx, d RT Indicates the distance between Rx and Tx, θ 1 Indicates Rx and Tx, Ο 1 The angle between, θ 2 Indicates Rx and Tx, Ο 2 The angle between, θ j Indicates Rx and Tx, Ο j angle between. Rx consists of a monitoring antenna and a reference antenna, where the monitoring antenna receives the signal transmitted by Tx and passes through Ο j The reflected signal refers to the direct signal...

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 multi-hypothesis based Monte Carlo simulation method for multi-objective passive coherent location. Due to the low signal-to-noise ratio of the detected objects in a PLC system and their unknown quantity, it is difficult to use the PCL system to realize the track initialization and maintenance of low observable objects without knowing their quantity. In the method, firstly according to the measurement information acquired by a dual base station passive coherent location system, a log likelihood function is constructed, and then the quantity of the objects are resolved through multi-hypothesis. Based on the Monte Carlo simulation annealing algorithm, the constructed log likelihood function is optimized and resolved. The obtained approximation solution is taken as the global optimal solution with the consequences of track initialization and finally track maintenance through the sliding window batch technology. The method of the invention can effectively improve the real-time multi-object detection and tracking, solve the track initialization of low observable objects without knowing their quantity in a passive coherent location system and improve the precision of the object locating and tracking.

Description

technical field [0001] The invention belongs to the technical field of target detection and tracking, and relates to a multi-target passive cooperative positioning method based on multi-hypothesis pseudo-Monte Carlo. Background technique [0002] Passive Coherent Location (PCL) means that the radar itself does not emit electromagnetic waves, but uses electromagnetic waves emitted by non-cooperative external radiation sources (such as mobile phone communication base stations, digital TV signal base stations, etc.) to detect and track targets. Compared with the traditional active radar, the PCL system is small in size, strong in anti-jamming ability, silent by itself, and has strong survivability. In addition, the PCL system uses the spatial distribution of dual and multi-base stations to greatly improve the detection performance of the system for low-altitude and stealth targets, and has attracted extensive attention from scholars at home and abroad. Since the signal-to-nois...

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): G01S13/06G06F17/18G06F17/15
CPCG01S13/06G06F17/15G06F17/18
Inventor 郭云飞滕方成彭冬亮杨胜伟郭宝峰
Owner HANGZHOU CCRFID MICROELECTRONICS
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com