Coherent signal DOA (Direction-of-Arrival) estimation method based on sparse Bayesian learning

A sparse Bayesian, coherent signal technology, applied in the field of coherent signal DOA estimation

Active Publication Date: 2019-09-06
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention can solve the problem that the existing subspace class DOA estimation algorithm needs to predict the number of targets and the decoherence operation when processing coherent signals

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
  • Coherent signal DOA (Direction-of-Arrival) estimation method based on sparse Bayesian learning
  • Coherent signal DOA (Direction-of-Arrival) estimation method based on sparse Bayesian learning
  • Coherent signal DOA (Direction-of-Arrival) estimation method based on sparse Bayesian learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0085] The steps of the present invention are:

[0086] Step 1: Obtain the output signal Y of the receiving array;

[0087] It is set to use M omnidirectional sensors to form a receiving array, and it is assumed that there are N far-field narrowband coherent signals in the space, respectively at the angle θ n Incident to the receiving array, where n=1,2,...,N, the receiving array is used to receive and sample the incident signal, and the output signal of the array is:

[0088] Y=[y(1),y(2),...y(L)] (1)

[0089] Wherein, y(t)(t=1,...,L) represents the output signal of the array at time t, and L represents the number of snapshots;

[0090] Step 2: Grid the observation space and construct an overcomplete array manifold A;

[0091] Divide the observation space angle evenly with an angle interval of 1° in the range [-90°,90°], and obtain the angle grid p...

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 coherent signal DOA (Direction-of-Arrival) estimation method based on sparse Bayesian learning. The method comprises the following steps that: obtaining the output signal of areceiving array, carrying out meshing on an observation space, constructing a super complete array manifold, combining with a sparse representation thought to convert a DOA estimation problem into aspare signal reconstruction problem, solving the following sparse matrix equations, establishing a spare Bayesian probability model, adopting a variation Bayesian deduction method to calculate the approximate posterior distribution of each hidden variable, and calculating the DOA estimation value of an incidence signal. By use of the estimation method, the number of incidence signals does not needto be estimated in advance, the estimation method does not relate to a decorrelation operation, the DOA estimation of a coherent signal is effectively realized, and the DOA estimation method which isput forward has good angle resolving power by aiming at the coherent signal. Compared with other existing DOA estimation methods, the method exhibits better direction-finding accuracy.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for estimating DOA of a coherent signal. Background technique [0002] Direction-of-Arrival (DOA, Direction-of-Arrival) estimation is one of the core tasks in the field of array signal processing. Estimating signal parameters such as the number of target signals and the direction of arrival is widely used in radar, sonar, wireless communication and other fields. The DOA estimation problem is closely related to the harmonic recovery, and the harmonic recovery problem can be solved by parametric techniques, especially the subspace class with high angular resolution performance represented by the Multiple Signal Classification (MUSIC, Multiple Signal Classification) algorithm. algorithm. When using the MUSIC algorithm for DOA estimation, the eigenvalue decomposition of the covariance matrix of the array output data is performed to obtain the signal subspace and ...

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): G01S3/14G06F17/10
CPCG01S3/143G06F17/10Y02D30/70
Inventor 杨杰杨益新禄婕一
Owner NORTHWESTERN POLYTECHNICAL UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap