z-logo
open-access-imgOpen Access
Novel multiuser ultra‐wideband receiver based on adaptive modelling of generalised normal‐Laplace distribution
Author(s) -
An Jinyoung,
Kim Sangchoon
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.0026
Subject(s) - wideband , laplace distribution , laplace transform , distribution (mathematics) , mathematics , computer science , mathematical analysis , electronic engineering , engineering
This study takes a new receiving approach to detect an ultra‐wideband (UWB) signal in the presence of multiple access interference (MAI). A generalised normal‐Laplace (GNL) distribution is exploited for designing a novel multiuser UWB receiver. To more accurately comply with real statistical behaviours of the MAI‐plus‐noise in time‐hopping multiple access UWB systems, a modified parameter estimator, which is an adaptive method of moments estimation ( a MME), is proposed. In the existing studies, the analysis about GNL model shows appropriate results for UWB simulations, while it requires heavy complexity to obtain the precise distribution because of no existence of a closed‐form probability density function (PDF) expression. To practically evaluate the GNL PDF, the fast Fourier transform, which can significantly reduce the computational complexity is considered. The GNL using the a MME outperforms the conventional matched filter UWB receiver, the soft‐limiting receiver, the Gaussian–Laplace mixture receiver, the p‐order metric receiver and the previous GNL receivers, especially in high SNR ranges. Furthermore, the presented GNL receiving method is applied to each finger of the conventional Rake receiver for signal detection in IEEE UWB multipath channels. The proposed Rake receiver based on the GNL distribution performs better than the conventional Rake receiver in multipath fading channels.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here