Normalised least mean-square aided decision-directed adaptive detection in hybrid direct-sequence time-hopping UWB systems

Qasim Zeeshan Ahmed, Lie Liang Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


In this contribution decision-directed adaptive detection scheme based on normalised least mean-square (DD/NLMS) principles is proposed and investigated for the hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) system. 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. 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 sake of comparison with that of the hybrid DS-TH UWB. Our study and simulation results show that the DD/NLMS-aided adaptive detection constitutes a feasible detection scheme for practical DS-, TH- or hybrid DS-TH UWB systems. With the aid of a training sequence of reasonable length, our study shows that the considered UWB schemes are capable of achieving the BER performance that is close to that achieved by the minimum mean-square error (MMSE) detector with perfect channel knowledge. Furthermore, the DD adaptive techniques may be employed by UWB systems in order to improve their spectral-efficiency.

Original languageEnglish
Title of host publicationThe 68th IEEE Vehicular Technology Conference, VTC 2008-Fall
Number of pages5
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event68th Semi-Annual IEEE Vehicular Technology Conference - Calgary, Canada
Duration: 21 Sep 200824 Sep 2008
Conference number: 68


Conference68th Semi-Annual IEEE Vehicular Technology Conference
Abbreviated titleVTC 2008-Fall


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