Paper Info
Title
Adaptive Spectrum Sensing Algorithm in Cognitive Ultra-wideband Systems
Abstract
Energy detection is a simple spectrum sensing technique that compares the energy in the received signal with a threshold to determine whether a primary user signal is present or not. Setting the threshold is very important to the performance of the spectrum sensing. This paper proposes an adaptive spectrum sensing algorithm where an optimal decision threshold of energy detection is derived based on minimizing the weighted sum of probabilities of detection and false alarm. Since the optimal decision threshold is dependent on the noise power and signal power, a simple, practical frequency domain approach is devised to estimate both. The algorithm can be used for the detection of various kinds of signals without any prior knowledge of the signal, channel or noise power, and is able to adapt to noise fluctuation. Simulations for detecting narrow-band and wideband signals (phase shift keying signal, frequency shift keying signal, orthogonal frequency division multiplexing signal) and ultra-wideband (UWB) signals (direct sequence spread spectrum signals) in an IEEE 802.15.3a UWB band are presented. The results show that the proposed algorithm has excellent robustness to noise uncertainty and outperforms the existing spectrum sensing algorithms in the literature.
Year
DOI
Venue
2013
10.1007/s11277-011-0483-4
Wireless Personal Communications
Keywords
Field
DocType
Cognitive radio,Ultra-wide band,Spectrum sensing,Energy detection,Adaptive algorithm
Frequency domain,Noise power,Computer science,Frequency-shift keying,Algorithm,Ultra-wideband,Adaptive algorithm,Direct-sequence spread spectrum,Orthogonal frequency-division multiplexing,Phase-shift keying
Journal
Volume
Issue
ISSN
68
3
0929-6212
Citations 
PageRank 
References 
4
0.40
21
Authors
4
Name
Order
Citations
PageRank
Shibing Zhang1397.03
Xiaodai Dong295885.45
Zhihua Bao34410.32
Haoye Zhang440.40