Conference Paper
Performance of Hybrid DirectSequence TimeHopping Ultrawide Bandwidth Systems in NakagamiM Fading Channels
DOI: 10.1109/PIMRC.2007.4394238 Conference: Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Source: IEEE Xplore

Conference Paper: LowComplexity ReducedRank Adaptive Detection in Hybrid DirectSequence TimeHopping Ultrawide Bandwidth Systems.
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ABSTRACT: In this contribution reducedrank adaptive minimum mean square error multiuser detector (MMSEMUD) is proposed and investigated for the hybrid directsequence timehopping ultrawide bandwidth (DSTH UWB) systems. The adaptive MMSEMUD is operated based on the normalised least meansquare (NLMS) principles associated with using Taylor polynomial approximation (TPA)assisted reducedrank technique. It can be shown that the reducedrank adaptive technique is beneficial to achieving lowcomplexity, high convergence speed and robust detection in hybrid DSTH UWB systems. In this contribution biterrorrate (BER) performance of the hybrid DSTH UWB systems using proposed reduced rank adaptive MMSEMUD is investigated, when communicating over UWB channels modelled by the SalehValenzuela (SV) channel model. Our simulation results show that the TPAassisted reducedrank adaptive MMSEMUD is capable of achieving a similar BER performance as that of the fullrank adaptive MMSEMUD but with significantly lower detection complexity.Proceedings of the 69th IEEE Vehicular Technology Conference, VTC Spring 2009, 2629 April 2009, Hilton Diagonal Mar, Barcelona, Spain; 01/2009 
Conference Paper: Least Mean Square Aided Adaptive Detection in Hybrid DirectSequence TimeHopping Ultrawide Bandwidth Systems
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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 directsequence timehopping ultrawide bandwidth (DSTH UWB) systems. The biterrorrate (BER) performance of the hybrid DSTH UWB system is investigated when communicating over the UWB channels modelled by the SalehValenzuela (SV) channel model. Furthermore, since both the pure DSUWB and pure THUWB constitute special examples of the hybrid DSTH UWB, their BER performance is also investigated in this contribution for the sake of comparison with that of the hybrid DSTH UWB. Our study and simulation results show that the LMSaided adaptive detection can be a feasible detection scheme for deployment in practical DS, TH or hybrid DSTH 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 meansquare error (MMSE) detector with perfect channel knowledge.Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE; 06/2008  [Show abstract] [Hide abstract]
ABSTRACT: In this paper a range of reducedrank adaptive multiuser detectors (MUDs) are proposed and investigated for the hybrid directsequence timehopping ultrawide bandwidth (DSTH UWB) systems. The adaptive MUDs are operated based on the recursive least square (RLS) principles. Three types of reducedrank techniques are investigated, which are the principal component (PC), crossspectral metric (CSM) and Taylor polynomial approximation (TPA). These reducedrank adaptive techniques are beneficial to achieving lowcomplexity, high spectralefficiency and robust detection in hybrid DSTH UWB systems. In this contribution bit error rate (BER) performance of the hybrid DSTH UWB systems using proposed reducedrank adaptive MUDs is investigated by simulations, when communicating over UWB channels modelled by the SalehValenzuela (SV) channel model. Our simulation results show that, given a sufficiently high rank of the detection subspace, the reducedrank adaptive MUDs are capable of achieving a similar BER performance as that of the fullrank ideal minimum meansquare error MUD (MMSEMUD) but with significantly lower detection complexity. Furthermore, the TPAbased reducedrank adaptive MUD is capable of yielding a better BER performance than the PC or CSMbased reducedrank adaptive MUD, when the same but relatively low rank detection subspace is assumed.IEEE Transactions on Wireless Communications 02/2010; · 2.76 Impact Factor
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