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01-03-2014 | Issue 1/2014

Spatial-Temporal Cooperative Spectrum Sensing in Flat Fading Channels for Cognitive Radio Using Extend Kalman Filter

Journal:: Wireless Personal Communications > Issue 1/2014

Authors:: Behrad Mahboobi, Mostafa Mohammadkarimi, Mehrdad Ardebilipour

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Abstract

This paper investigates a new channel gain map tracking by Space-Time Extended Kalman Filtering (STEKF) for a flat channel, and a novel spectrum sensing via Time Spatial Weighted Non-negative Lasso (TSWNL) algorithm. STEKF enables CRs to estimate and interpolate channel gain map for the entire geographical area of interest with a limited number of CRs measurements. In order to sense primary users (PU) activities, include the transmission power by each PU, location and number of active PUs, TSWNL algorithm is proposed. Numerical results illustrate that the proposed STEKF channel estimation and TSWNL sensing algorithms outperforms linear methods.

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Title: Spatial-Temporal Cooperative Spectrum Sensing in Flat Fading Channels for Cognitive Radio Using Extend Kalman Filter
Authors:: Behrad Mahboobi
Mostafa Mohammadkarimi
Mehrdad Ardebilipour
Publication date: 01-03-2014
DOI: https://doi.org/10.1007/s11277-013-1356-9
Publisher: Springer US
Journal: Wireless Personal Communications An International Journal
Issue 1/2014
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X

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