Least Mean Square Aided Adaptive Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems
Ahmed, Qasim Zeeshan, Liu, Wei and Yang, Lie-Liang (2008) Least Mean Square Aided Adaptive Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems. At IEEE VTC2008-Spring, 11 - 14 May 2008.
Download
Full text not available from this repository.
Description/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.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Event Dates: 11-14 May 2008 |
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 265941 |
| Date Deposited: | 13 Jun 2008 10:35 |
| Last Modified: | 02 Mar 2012 13:00 |
| Contributors: | Ahmed, Qasim Zeeshan (Author) Liu, Wei (Author) Yang, Lie-Liang (Author) |
| Date: | May 2008 |
| Additional Information: | Event Dates: 11-14 May 2008 |
| Status: | Published |
| Further Information: | Google Scholar |
| ISI Citation Count: | 2 |
| URI: | http://eprints.soton.ac.uk/id/eprint/265941 |
Actions (login required)
![]() |
View Item |


