Low-complexity reduced-rank adaptive detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems

Qasim Zeeshan Ahmed, Lie Liang Yang

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

1 Citation (Scopus)

Abstract

In this contribution reduced-rank adaptive minimum mean-square error multiuser detector (MMSE-MUD) is proposed and investigated for the hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. The adaptive MMSE-MUD is operated based on the normalised least mean-square (NLMS) principles associated with using Taylor polynomial approximation (TPA)-assisted reduced-rank technique. It can be shown that the reduced-rank adaptive technique is beneficial to achieving low-complexity, high convergence speed and robust detection in hybrid DS-TH UWB systems. In this contribution bit-error-rate (BER) performance of the hybrid DS-TH UWB systems using proposed reduced-rank adaptive MMSE-MUD is investigated, when communicating over UWB channels modelled by the Saleh-Valenzuela (S-V) channel model. Our simulation results show that the TPA-assisted reduced-rank adaptive MMSE-MUD is capable of achieving a similar BER performance as that of the full-rank adaptive MMSE-MUD but with significantly lower detection complexity.

LanguageEnglish
Title of host publicationVTC Spring 2009 - IEEE 69th Vehicular Technology Conference
Number of pages5
DOIs
Publication statusPublished - 12 Oct 2009
Externally publishedYes
EventVTC Spring 2009 - IEEE 69th Vehicular Technology Conference - Barcelona, Spain
Duration: 26 Apr 200929 Apr 2009

Conference

ConferenceVTC Spring 2009 - IEEE 69th Vehicular Technology Conference
CountrySpain
CityBarcelona
Period26/04/0929/04/09

Fingerprint

Reduced Rank
Minimum Mean Square Error
Mean square error
Low Complexity
Bandwidth
Detector
Detectors
Taylor Polynomial
Polynomial approximation
Polynomial Approximation
Bit error rate
Error Rate
Adaptive Techniques
Least Mean Square
Channel Model
Convergence Speed
Ultra-wideband (UWB)
High Speed
Simulation

Cite this

Ahmed, Qasim Zeeshan ; Yang, Lie Liang. / Low-complexity reduced-rank adaptive detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems. VTC Spring 2009 - IEEE 69th Vehicular Technology Conference. 2009.
@inproceedings{a34ea7383bed45679e347c6f7f3220ce,
title = "Low-complexity reduced-rank adaptive detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems",
abstract = "In this contribution reduced-rank adaptive minimum mean-square error multiuser detector (MMSE-MUD) is proposed and investigated for the hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. The adaptive MMSE-MUD is operated based on the normalised least mean-square (NLMS) principles associated with using Taylor polynomial approximation (TPA)-assisted reduced-rank technique. It can be shown that the reduced-rank adaptive technique is beneficial to achieving low-complexity, high convergence speed and robust detection in hybrid DS-TH UWB systems. In this contribution bit-error-rate (BER) performance of the hybrid DS-TH UWB systems using proposed reduced-rank adaptive MMSE-MUD is investigated, when communicating over UWB channels modelled by the Saleh-Valenzuela (S-V) channel model. Our simulation results show that the TPA-assisted reduced-rank adaptive MMSE-MUD is capable of achieving a similar BER performance as that of the full-rank adaptive MMSE-MUD but with significantly lower detection complexity.",
author = "Ahmed, {Qasim Zeeshan} and Yang, {Lie Liang}",
year = "2009",
month = "10",
day = "12",
doi = "10.1109/VETECS.2009.5073658",
language = "English",
isbn = "9781424425174",
booktitle = "VTC Spring 2009 - IEEE 69th Vehicular Technology Conference",

}

Ahmed, QZ & Yang, LL 2009, Low-complexity reduced-rank adaptive detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems. in VTC Spring 2009 - IEEE 69th Vehicular Technology Conference., 5073658, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference, Barcelona, Spain, 26/04/09. https://doi.org/10.1109/VETECS.2009.5073658

Low-complexity reduced-rank adaptive detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems. / Ahmed, Qasim Zeeshan; Yang, Lie Liang.

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference. 2009. 5073658.

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

TY - GEN

T1 - Low-complexity reduced-rank adaptive detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems

AU - Ahmed, Qasim Zeeshan

AU - Yang, Lie Liang

PY - 2009/10/12

Y1 - 2009/10/12

N2 - In this contribution reduced-rank adaptive minimum mean-square error multiuser detector (MMSE-MUD) is proposed and investigated for the hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. The adaptive MMSE-MUD is operated based on the normalised least mean-square (NLMS) principles associated with using Taylor polynomial approximation (TPA)-assisted reduced-rank technique. It can be shown that the reduced-rank adaptive technique is beneficial to achieving low-complexity, high convergence speed and robust detection in hybrid DS-TH UWB systems. In this contribution bit-error-rate (BER) performance of the hybrid DS-TH UWB systems using proposed reduced-rank adaptive MMSE-MUD is investigated, when communicating over UWB channels modelled by the Saleh-Valenzuela (S-V) channel model. Our simulation results show that the TPA-assisted reduced-rank adaptive MMSE-MUD is capable of achieving a similar BER performance as that of the full-rank adaptive MMSE-MUD but with significantly lower detection complexity.

AB - In this contribution reduced-rank adaptive minimum mean-square error multiuser detector (MMSE-MUD) is proposed and investigated for the hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. The adaptive MMSE-MUD is operated based on the normalised least mean-square (NLMS) principles associated with using Taylor polynomial approximation (TPA)-assisted reduced-rank technique. It can be shown that the reduced-rank adaptive technique is beneficial to achieving low-complexity, high convergence speed and robust detection in hybrid DS-TH UWB systems. In this contribution bit-error-rate (BER) performance of the hybrid DS-TH UWB systems using proposed reduced-rank adaptive MMSE-MUD is investigated, when communicating over UWB channels modelled by the Saleh-Valenzuela (S-V) channel model. Our simulation results show that the TPA-assisted reduced-rank adaptive MMSE-MUD is capable of achieving a similar BER performance as that of the full-rank adaptive MMSE-MUD but with significantly lower detection complexity.

UR - http://www.scopus.com/inward/record.url?scp=70349658866&partnerID=8YFLogxK

U2 - 10.1109/VETECS.2009.5073658

DO - 10.1109/VETECS.2009.5073658

M3 - Conference contribution

SN - 9781424425174

BT - VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

ER -