Compressed channel estimation and data detection algorithms for IR-UWB

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 Den...

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Bibliographic Details
Published in2011 IEEE International Conference on Ultra-Wideband (ICUWB) pp. 360 - 364
Main Authors Barbieri, A., Pancaldi, F., Vitetta, G. M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Bit error rate
Channel estimation
Correlators
Detectors
Matching pursuit algorithms
Noise
Payloads
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ISBN9781457717635
1457717638
ISSN2162-6588
DOI10.1109/ICUWB.2011.6058864

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Summary: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.
ISBN:9781457717635
1457717638
ISSN:2162-6588
DOI:10.1109/ICUWB.2011.6058864