Low-Complexity Reduced-Rank Adaptive Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems

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Executive Summary

In this contribution reduced-rank adaptive Minimum Mean Square Error Multi-User Detector (MMSE-MUD) is proposed and investigated for the hybrid Direct-Sequence Time-Hopping Ultra-Wide 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.

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