NDLI: UWB Sparse/Diffuse Channels, Part II: Estimator Analysis and Practical Channels

Content Provider	IEEE Xplore Digital Library
Author	Michelusi, N. Mitra, U. Molisch, A.F. Zorzi, M.
Copyright Year	1991
Abstract	In this two-part paper, the problem of channel estimation in Ultra Wide-Band (UWB) systems is investigated. In Part I, a novel Hybrid Sparse/Diffuse (HSD) model is proposed for the UWB channel, and new channel estimation strategies are designed for this model. In this paper (Part II), a Mean-Squared Error (MSE) analysis of the Generalized MMSE and Generalized Thresholding Estimators developed in Part I is performed, for the asymptotic regimes of low and high SNR. The analysis quantifies the achievable MSE performance of these schemes over unstructured estimators. Specifically, we prove that it is beneficial to be conservative in the estimation of the sparse component, i.e., to assume that the sparse component is sparser than it actually is. Moreover, we analyze the scenario with a non-orthogonal pilot sequence, and establish a connection between the Generalized Thresholding estimator and conventional sparse approximation algorithms proposed in the literature. In addition to the theoretical analysis, these channel estimation schemes are evaluated in a more realistic geometry-based channel emulator, for which the HSD model developed in Part I is an approximation. The numerical results are shown to match the expected asymptotic MSE behavior. Moreover, the proposed estimation techniques are shown to outperform conventional unstructured and purely sparse estimators, from both an MSE and a bit error rate perspectives, even for the realistic geometry-based channel model.
Sponsorship	IEEE Signal Processing Society
Starting Page	5320
Ending Page	5333
Page Count	14
File Size	3717653
File Format	PDF
ISSN	1053587X
Volume Number	60
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation Vectors Estimation Partial transmit sequences Matrix decomposition Signal to noise ratio Approximation methods ultra wideband Bayesian estimation channel estimation channel modeling sparse approximations
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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