Underwater acoustic OFDM time-varying channel estimation method based on sparse Bayesian learning

A sparse Bayesian, time-varying channel technology, applied in the field of underwater acoustic communication, can solve the problems of noise interference and limited bandwidth of the underwater acoustic channel, and achieve the effect of improving the accuracy and reducing the bit error rate.

Inactive Publication Date: 2019-01-11
HARBIN ENG UNIV
View PDF1 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the underwater acoustic channel has serious noise interference and severely limited bandwidth. It is a time-varying and frequ

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
  • Underwater acoustic OFDM time-varying channel estimation method based on sparse Bayesian learning
  • Underwater acoustic OFDM time-varying channel estimation method based on sparse Bayesian learning
  • Underwater acoustic OFDM time-varying channel estimation method based on sparse Bayesian learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0028] The present invention proposes an underwater acoustic OFDM communication system channel estimation framework based on sparse Bayesian learning. Compared with the compressed sensing method, the inventive method reduces the convergence error in the process of sparse signal reconstruction, improves the accuracy of channel estimation, and reduces the bit error rate of the system.

[0029] The following is a detailed description of the four parts of the basic underwater acoustic OFDM communication system model, SBL-based channel estimation method, simulation performance analysis, and sea test data processing:

[0030] 1. Basic underwater acoustic OFDM communication system model

[0031] The present invention considers a CP-OFDM system, assuming that an OFDM block has K subcarriers in total, including K d data subcarriers, K p pilot subcarriers, K n null...

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 present invention relates to an underwater acoustic OFDM time-varying channel estimation method based on sparse Bayesian learning. The method comprises the following steps of: the step 1: inputting channel estimation parameters, wherein the parameters comprise a receiving symbol vector YP, a dictionary matrix [Phi]p, the maximum iterations rmax, a termination threshold e and a noise variance [Sigma]2; the step 2: initializing a hyper-parameter matrix [Gamma] and an iteration count r; the step 3: employing the expectation maximization algorithm to perform solution of a hyper parameter [gamma]; the step 4: performing iteration terminal condition determination, wherein if r<rmax and a formula is met as shown in the description, r=r+1, and the step 3 is returned, if r<rmax and a formula ismet as shown in the description, iteration is terminated, and if r>=rmax, the iteration is terminated; and the step 5: outputting an estimation parameter, comprising sparse channel vector estimationand hyper parameter vector estimation. Compared to a current CS method, the method provided by the invention can improve the precision of the channel estimation, can reduce the system error rate, andhas an actual application value in the actual underwater acoustic OFDM communication system.

Description

technical field [0001] The invention relates to an underwater acoustic OFDM time-varying channel estimation method, in particular to an underwater acoustic OFDM time-varying channel estimation method based on sparse Bayesian learning, belonging to the field of underwater acoustic communication. Background technique [0002] The ocean occupies most of the total surface area of ​​the earth, and the vast ocean contains a large amount of untapped wealth. The development of ocean resources is inseparable from the support of underwater communication technology. In recent years, Orthogonal Frequency Division Multiplexing (OFDM) technology has been widely used in underwater communication systems because of its high spectrum efficiency and anti-frequency selective fading characteristics. However, the underwater acoustic channel has serious noise interference and severely limited bandwidth. It is a time-varying and frequency-varying fading channel. For OFDM systems, how to accurately ...

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): H04L25/02H04L27/26H04B17/391
CPCH04L25/0202H04L25/0242H04L27/2602H04B17/3912
Inventor 马璐宋庆军乔钢刘凇佐李梦瑶干书伟
Owner HARBIN ENG 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