Optimum sequence design and performance evaluation of channel estimation techniques for ultra-wideband systems

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Optimum sequence design and performance evaluation of channel estimation techniques for ultra-wideband systems

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Unstructured approaches for estimation of ultra-wideband (UWB) channels are investigated, namely the optimal maximum likelihood (ML) estimation, the suboptimal least square (LS), and the so-called pilot symbol assisted modulation (PSAM) estimation techniques. Moreover, closed form expressions for the maximum likelihood for a UWB system and an optimum sequence design technique for the LS scheme are derived. Performance analysis in terms of the minimum squared error (MSE) and accuracy in terms of the Cramer–Rao lower bound (CRLB) are provided. Trade-off between performance and complexity for the estimation techniques reported in the paper are shown.

Inspec keywords: channel estimation; computational complexity; ultra wideband communication; least squares approximations; maximum likelihood estimation; mean square error methods

Other keywords: channel estimation techniques; optimal ML estimation; ultra-wideband systems; pilot symbol assisted modulation estimation techniques; Cramer-Rao lower bound; suboptimal least squares estimation; closed form expressions; UWB channels; minimum squared error; optimal maximum likelihood estimation

Subjects: Other topics in statistics; Interpolation and function approximation (numerical analysis); Communication channel equalisation and identification; Radio links and equipment

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