Random filter based ultra-wideband channel estimation

Author

Zhang Xian-yu ; Liu Yu-lin ; Zhang Jian-xin ; He Ji-wei ; Wang Kai

Author_Institution

DSP Lab., Chongqing Commun. Inst., Chongqing, China

Volume

2

fYear

2010

fDate

21-24 May 2010

Abstract

Ultra-wideband (UWB) channel estimation based on compressive sensing (CS) is developed. A random filter is exploited in the system to produce the measurement matrix. A new filter which is “all pass” in frequency domain and both real in time and frequency domain is established. Then subsampling and reconstruction algorithm are utilized for channel estimation. The Cramer-Rao bound of the sparse channel estimation is obtained. Numerical results indicate that the estimation algorithm with quite a low sampling rate can get a perfect performance. The results also reveal that the algorithm´s Mean Square Error (MSE) approaches the CRB at high Signal-Noise Ratio (SNR).

Keywords

channel estimation; frequency-domain analysis; numerical analysis; signal reconstruction; time-domain analysis; Cramer-Rao bound; compressive sensing; frequency domain; mean square error; measurement matrix; random filter; reconstruction algorithm; signal-noise ratio; sparse channel estimation; subsampling algorithm; time domain; ultra-wideband channel estimation; AWGN; Bandwidth; Channel estimation; Delay; Filters; Frequency domain analysis; Mean square error methods; Sampling methods; Ultra wideband technology; Wireless communication; Cramer-Rao bound; channel estimation; compressive sensing; random filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer and Communication (ICFCC), 2010 2nd International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5821-9

Type

conf

DOI

10.1109/ICFCC.2010.5497456

Filename

5497456