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.
|Title of host publication||VTC Spring 2009 - IEEE 69th Vehicular Technology Conference|
|Number of pages||5|
|Publication status||Published - 12 Oct 2009|
|Event||VTC Spring 2009 - IEEE 69th Vehicular Technology Conference - Barcelona, Spain|
Duration: 26 Apr 2009 → 29 Apr 2009
|Conference||VTC Spring 2009 - IEEE 69th Vehicular Technology Conference|
|Period||26/04/09 → 29/04/09|