Performance evaluation of FRESH filter based spectrum sensing for cyclostationary signals

Chopra, Ribhu and Ghosh, Debashis and Mehra, DK (2016) Performance evaluation of FRESH filter based spectrum sensing for cyclostationary signals. In: PHYSICAL COMMUNICATION, 20 . pp. 17-32.

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Abstract

This paper considers the problem of spectrum sensing of cyclostationary signals for cognitive radios. It has been reported earlier using simulation results that FRESH filtering a signal, prior to spectrum sensing, may result in gains of more than 5 dB over the standard energy and cyclostationary detectors. This paper develops a quasi-analytical theory of spectrum sensing based on FRESH filtering. It is shown that significant performance gains are achievable in both energy detection and cyclostationarity detection via FRESH filtering of the received signal prior to the detection step. The aforementioned approach may be shown to reduce the number of samples required to achieve a given detection, performance by more than 90% in practice, thereby reducing the sensing time in a cognitive radio system. It is also shown that the FRESH filtering before energy detection may reduce the effects of SNR walls caused due to noise uncertainty. The validity of all the derived observations is verified via simulations. (C) 2016 Elsevier B.V. All rights reserved.

Item Type:	Journal Article
Publication:	PHYSICAL COMMUNICATION
Additional Information:	Copy right for this article belongs to the ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	22 Oct 2016 10:15
Last Modified:	22 Oct 2016 10:15
URI:	http://eprints.iisc.ac.in/id/eprint/55091

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