Automatic UWB clusters identification

Clustering phenomenon exists in the ultra-wideband (UWB) impulse responses. Although it is feasible to manually identify clusters via visual inspection, this task becomes very difficult and time consuming when a large amount of data needs to be processed. Furthermore, visual inspection highly depend...

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Bibliographic Details
Published in2009 IEEE Radio and Wireless Symposium pp. 376 - 379
Main Authors Corrigan, M., Walton, A., Weihong Niu, Jia Li, Talty, T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2009
Subjects
Asia
cluster identification
Clustering algorithms
Delay effects
Error correction
Fading
Inspection
intra-vehicle
multipath
Performance evaluation
Time measurement
Transceivers
Ultra wideband technology
UWB
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ISBN9781424426980
1424426987
ISSN2164-2958
DOI10.1109/RWS.2009.4957359

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Summary:Clustering phenomenon exists in the ultra-wideband (UWB) impulse responses. Although it is feasible to manually identify clusters via visual inspection, this task becomes very difficult and time consuming when a large amount of data needs to be processed. Furthermore, visual inspection highly depends on the person who performs the cluster identification task, which may cause inconsistent or unrepeatable results. In this paper, we propose an automatic procedure to identify clusters in UWB impulse responses. The algorithm takes both the amplitude and time delay into account when finding the clusters. The algorithm performs well. If the threshold is set correctly, there will not be any error.
ISBN:9781424426980
1424426987
ISSN:2164-2958
DOI:10.1109/RWS.2009.4957359