Compressed channel estimation and data detection algorithms for IR-UWB

Author

Barbieri, Alessandro ; Pancaldi, Fabrizio ; Vitetta, Giorgio M.

Author_Institution

Dept. of Inf. Eng., Univ. of Modena & Reggio Emilia, Reggio Emilia, Italy

fYear

2011

fDate

14-16 Sept. 2011

Firstpage

360

Lastpage

364

Abstract

In this paper compressed sensing (CS) techniques are employed to develop reduced sampling rate strategies for channel estimation and data detection in impulse radio ultrawideband (IR-UWB) systems. In particular, first channel estimation algorithms based on Matching Pursuit (MP) and Basis Pursuit Denoising (BPDN) techniques are proposed. Then, it is shown how the channel estimates generated by these algorithms can be used in correlation-based CS detectors. Finally, the performance loss originating from CS is assessed analytically in a transmitted reference (TR) system.

Keywords

channel estimation; correlation methods; iterative methods; signal denoising; signal sampling; ultra wideband communication; wireless channels; IR-UWB; basis pursuit denoising technique; compressed channel estimation; compressed sensing technique; correlation-based CS detector; data detection algorithm; impulse radio ultrawideband system; matching pursuit; sampling rate strategy; Bit error rate; Channel estimation; Correlators; Detectors; Matching pursuit algorithms; Noise; Payloads;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultra-Wideband (ICUWB), 2011 IEEE International Conference on

Conference_Location

Bologna

ISSN

2162-6588

Print_ISBN

978-1-4577-1763-5

Electronic_ISBN

2162-6588

Type

conf

DOI

10.1109/ICUWB.2011.6058864

Filename

6058864