alexa Abstract | Study on Compressed Sensing Sparse Channel Based on Bayesian Estimate in Wireless Sensor Networks

Journal of Chemical and Pharmaceutical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Original Articles Open Access

Abstract

Actual measurements have shown that in many cases, the wireless channel is a channel with sparse. In order to use the bayesian channel estimation algorithm to estimate channel, using sparse characteristic of the channel at the same time, the paper improved the search method of support set in SABMP algorithm .In the process of dominate search support set introduces the ideas of viterbi decoding path, eventually reduce the computational complexity of the algorithm. Theoretical analysis and simulation results verify the effectiveness of the improved algorithm.

To read the full article Peer-reviewed Article PDF image

Author(s): Zeyu Sun

Keywords

wireless sensor networks, Bayesian estimation, compressed sensing, greedy algorithm, Sensor Networks

 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us