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

GNSS positioning multipath mitigation method based on sparse estimation

A multipath mitigation and sparse technology, applied in the field of navigation and positioning, which can solve complex and computationally heavy problems

Pending Publication Date: 2020-03-27
TAIYUAN UNIV OF TECH
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods are computationally intensive, making them very complex in practical applications

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
  • GNSS positioning multipath mitigation method based on sparse estimation
  • GNSS positioning multipath mitigation method based on sparse estimation
  • GNSS positioning multipath mitigation method based on sparse estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be further described in detail in combination with the embodiments and accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. The technical solutions of the present invention will be described in detail below in conjunction with the embodiments and accompanying drawings, but the scope of protection is not limited thereto.

[0068] A sparse estimation based approach to multipath mitigation for GNSS positioning begins with how to estimate MP bias using GNSS measurements with sparsity constraints.

[0069] 1. Sparse Estimation Theory

[0070] Assume a measurement vector defined as in is the known regression matrix, θ is the estimated unknown sparse vector, is an unknown error. From the obs...

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 GNSS positioning multipath mitigation method based on sparse estimation, belongs to the technical field of navigation and positioning, and aims at estimating the deviations by utilizing a sparse estimation theory and remarkably reducing the calculation complexity at the same time. The method of the present invention is characterized by modeling the influence of MP signalson the GNSS measurements as the additive deviations, and then estimating these deviations and subtracting these deviations from the GNSS measurement to mitigate MP effects. Compared with a more approximate particle filter sequential Monte Carlo method, the method has the advantages that the calculated amount is obviously reduced, the deviation is estimated by using a sparse estimation theory, andmeanwhile, the calculation complexity is obviously reduced.

Description

technical field [0001] The invention belongs to the technical field of navigation and positioning, and relates to a positioning method in a GNSS navigation system, in particular to a method for alleviating multipath in a GNSS navigation system based on sparse estimation theory. Background technique [0002] MULTIPATH (MP) is one of the most difficult sources of error that GNSS positioning needs to address. MP can be mitigated at the antenna level by exploiting the fact that reflections change the polarization of the received signal. MP can also be mitigated at the receiver level by modifying the correlators, eg, by using narrow correlators, double delta correlators, early late slopes. Other techniques work at the discriminator level, such as maximum likelihood techniques based on MP Estimation Delay Locked Loop (MEDLL), Coupled Amplitude DLL (CADLL) or Multipath Insensitive DLL (MIDLL) have also been developed for MP signals. All of the aforementioned techniques require sp...

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
IPC IPC(8): G01S19/22
CPCG01S19/22
Inventor 李灯熬赵菊敏侯宁宁
Owner TAIYUAN UNIV OF TECH
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