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

Steady direction of arrival estimation method based on sparse representation and covariance fitting

A sparse representation and covariance technique, applied in the field of signal processing, which can solve problems such as estimation accuracy limitations

Active Publication Date: 2015-04-22
NANJING UNIV OF POSTS & TELECOMM
View PDF8 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method requires the signal source to be located on the grid used in the sparse spatial spectrum representation, and its estimation accuracy is limited by the grid density.

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
  • Steady direction of arrival estimation method based on sparse representation and covariance fitting
  • Steady direction of arrival estimation method based on sparse representation and covariance fitting
  • Steady direction of arrival estimation method based on sparse representation and covariance fitting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] refer to figure 1 , the implementation steps of the present invention are as follows:

[0056]Step 1: Use N omnidirectional antenna receivers to form a uniform linear array to estimate the direction of K narrowband signal sources in space. The possible direction set of the signal source is Ω, and the candidate direction network is covered on it where θ k Represents a generic orientation parameter.

[0057] Step 2 Calculate the theoretical expression of the signal covariance matrix R and the actual sampling value according to the output signal of the antenna array

[0058] R = E [ y ( t ) y ( t ) H ] = Σ k = 1 K p k ...

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 steady direction of arrival estimation method based on a sparse representation and covariance fitting. The steady direction of arrival estimation method based on the sparse representation and the covariance fitting mainly comprises the steps that a sparse spatial spectrum representation model is established according to antenna array receipt signals, a parameterization representation is carried out on model errors, and an optimization problem is established according to a covariance fitting criterion. The obtained problem is non convex optimization, therefore, the transformation and solution of the problem can be performed through equivalent transformation, parameter increase and step-by-step solution. Without considering the model errors at first, an original problem can be simplified as a convex optimization problem. The convex optimization problem is quickly solved by an existing method, and an initial solution is obtained. Iteration solving is carried out on the original problem, a model error parameter is estimated and an initial estimation is renewed. The steady direction of arrival estimation method based on the sparse representation and the covariance fitting can obtain a precise DOA estimation by low complexity.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to estimation of the angle of arrival and direction, and can be used for passive positioning and target detection. Background technique [0002] Direction of Arrival (DOA) estimation is the use of antenna arrays in different positions in space to receive signals from multiple signal sources in different directions, and the use of modern signal processing methods to quickly and accurately obtain the direction of the signal source. It has important application value in other fields. [0003] Traditional DOA estimation techniques include subspace-based methods, such as the MUSIC method and maximum likelihood estimation. In recent years, the development of signal sparse recovery and sparse representation has provided new ideas for DOA estimation techniques. The main idea of ​​signal sparse representation is to use the fine grid to cover the value space of the parameter to be...

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): H04B7/08H04B17/391
Inventor 蔡曙王士欣刘旭朱洪波
Owner NANJING UNIV OF POSTS & TELECOMM
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