A Novel Ultra-Wideband Channel Estimation Based on Random Coding Convert Compressed Sensing

Author

Nanhua Yu ; Xiangming Huang ; Sheng Zhang

fYear

2013

fDate

10-12 April 2013

Firstpage

750

Lastpage

754

Abstract

A novel Ultra-wideband (UWB) Communication channel estimation method based on random coding convert compressed sensing (CS) is proposed in this paper. By utilizing pulse modulation and UWB channel response as parts of CS measurement matrix, channel estimation is realized with Bernoulli random coding convert CS theory. Simulation results with channel model of IEEE 802.15.3a show that the proposed method is effective for UWB channel estimation, and compared with other estimation system it is simpler and easier to realize. In addition, it can greatly decrease the sampling rate of received signal.

Keywords

channel estimation; matrix algebra; personal area networks; pulse modulation; random codes; signal reconstruction; ultra wideband communication; Bernoulli random coding; CS measurement matrix; IEEE 802.15.3a; RANDOM CODING CONVERT COMPRESSED SENSING; UWB channel response; pulse modulation; ultrawideband channel estimation; Channel estimation; Compressed sensing; Encoding; Estimation; Pollution measurement; Receivers; Vectors; compressed sensing; random coding convert; ultra-wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on

Conference_Location

Cambridge

Print_ISBN

978-1-4673-6421-8

Type

conf

DOI

10.1109/UKSim.2013.47

Filename

6527513