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Maximum Likelihood and Orthogonal Subspace based approach for Improved IR-UWB Channel Estimation

Rizwan Akbar 1 Emanuel Radoi 2 Stéphane Azou 1
2 Lab-STICC_UBO_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : Indoor propagation channel appears differently to ultra-wideband (UWB) systems than it does to narrowband systems. UWB signals have very high temporal resolution ability and this implies a frequency-selective channel with rich multipath in practice. To capture the signal energy spread over a multipath environment, a Rake receiver consisting of multiple parallel correlators is used. Performance of UWB systems employing Rake receivers is highly dependent on synchronization and the channel estimation. The channel parameters are the attenuations and delays incurred by the UWB signal along the propagation paths. Maximum-Likelihood (ML) and orthogonal subspace (OS) based methods are considered to estimate the parameters for IEEE 802.15.3a standard indoor multipath channel model. Analyzing the limitations and benefits of these methods, a new combined approach is proposed to improve channel parameter estimation.
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https://hal.univ-brest.fr/hal-00485719
Contributor : Emanuel Radoi <>
Submitted on : Friday, May 21, 2010 - 3:36:46 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:22 PM

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  • HAL Id : hal-00485719, version 1

Citation

Rizwan Akbar, Emanuel Radoi, Stéphane Azou. Maximum Likelihood and Orthogonal Subspace based approach for Improved IR-UWB Channel Estimation. EUSIPCO 2010, Aug 2010, Aalborg, Denmark. pp.1-5. ⟨hal-00485719⟩

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