Empirical Likelihood-Based Channel Estimation with Laplacian Noise

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)

Abstract

This paper introduces a new method to estimate channel with Laplacian noise based on empirical likelihood algorithm. The received signal is assumed to be a transmitted signal which has been corrupted by a multipath channel, modeled as a FIR filter, the output being further disturbed by additive independent Laplacian noise. Then the channel estimation is treated as a nonparametric estimation issue in the model and the channel parameter is estimated by Empirical Likelihood approach. Furthermore, the MSE and BER performance of channel estimation are explored via numerical simulations.

Keywords

Laplacian noise Empirical likelihood Channel estimation 

Notes

Acknowledgement

This work was supported by the National Natural Science Foundation of China (61271180), Major National Science and Technology Projects (2012zx03001022) and Special Foundation for State Internet of Things Program (Radio frequency and communication security testing service platform of Internet of things).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Key Lab of Universal Wireless CommunicationsBeijing University of Posts and TelecommunicationsBeijingChina

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