Title
Least Mean Square Aided Adaptive Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems
Abstract
In this contribution an adaptive detection scheme based on least mean square (LMS) principles is proposed and investigated in the context of the hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. The bit-error-rate (BER) performance of the hybrid DS-TH UWB system is investigated when communicating over the UWB channels modelled by the Saleh-Valenzuela (S-V) channel model. Furthermore, since both the pure DS-UWB and pure TH-UWB constitute special examples of the hybrid DS-TH UWB, their BER performance is also investigated in this contribution for the sake of comparison with that of the hybrid DS-TH UWB. Our study and simulation results show that the LMS-aided adaptive detection can be a feasible detection scheme for deployment in practical DS-, TH- or hybrid DS-TH UWB systems. It can be shown that, with the aid of a training sequence of reasonable length, the considered UWB schemes are capable of achieving a BER performance which is close to that achieved by the minimum mean-square error (MMSE) detector with perfect channel knowledge.
Year
DOI
Venue
2008
10.1109/VETECS.2008.226
VTC Spring
Keywords
Field
DocType
adaptive signal detection,error statistics,least mean squares methods,spread spectrum communication,ultra wideband communication,DS-TH UWB system,Saleh-Valenzuela channel model,UWB channel,bit-error-rate,hybrid direct-sequence time-hopping ultrawide bandwidth system,least mean square aided adaptive detection,minimum mean-square error detection
Least mean squares filter,Decorrelation,Computer science,Communication channel,Electronic engineering,Bandwidth (signal processing),Orthogonal frequency-division multiplexing,Time-hopping,Spread spectrum,Bit error rate
Conference
ISSN
ISBN
Citations 
1550-2252 E-ISBN : 978-1-4244-1645-5
978-1-4244-1645-5
2
PageRank 
References 
Authors
0.39
6
3
Name
Order
Citations
PageRank
Qasim Zeeshan Ahmed1303.57
Wei Liu220.39
Lie-Liang Yang320.39