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Spectral Sensing of Adaptive Frequency Hopping Signal for Cognitive Radio

Jaiswal, Kapil (2008) Spectral Sensing of Adaptive Frequency Hopping Signal for Cognitive Radio. In: 27th IEEE International Performance Computing and Communications Conference (IPCCC), DEC 07-09, 2008 , Austin, TX, pp. 360-365.

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Abstract

The issue of dynamic spectrum scene analysis in any cognitive radio network becomes extremely complex when low probability of intercept, spread spectrum systems are present in environment. The detection and estimation become more complex if frequency hopping spread spectrum is adaptive in nature. In this paper, we propose two phase approach for detection and estimation of frequency hoping signals. Polyphase filter bank has been proposed as the architecture of choice for detection phase to efficiently detect the presence of frequency hopping signal. Based on the modeling of frequency hopping signal it can be shown that parametric methods of line spectral analysis are well suited for estimation of frequency hopping signals if the issues of order estimation and time localization are resolved. An algorithm using line spectra parameter estimation and wavelet based transient detection has been proposed which resolves above issues in computationally efficient manner suitable for implementation in cognitive radio. The simulations show promising results proving that adaptive frequency hopping signals can be detected and demodulated in a non cooperative context, even at a very low signal to noise ratio in real time.

Item Type: Conference Paper
Additional Information: Copyright 2008 IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 19 Apr 2011 09:37
Last Modified: 19 Apr 2011 09:37
URI: http://eprints.iisc.ernet.in/id/eprint/36979

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