Title :
Non-asymptotic performance analysis of single-cycle detectors
Author :
Silva, Claudio R C M da ; Choi, Brian
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA
fDate :
10/1/2008 12:00:00 AM
Abstract :
In this paper, a new formulation of the probabilities of detection and false alarm for a class of cyclic-feature detectors known as single-cycle detectors is derived for additive white Gaussian noise channels. As opposed to previously published papers, the formulation derived here is non-asymptotic, being valid for any signal-to-noise ratio value. Additionally, the proposed formulation is general, allowing for the analysis of the single-cycle detection performance for any modulation scheme and any cycle frequency.
Keywords :
AWGN channels; probability; signal detection; additive white Gaussian noise channels; cyclic-feature detectors; detection probability; false alarm; nonasymptotic performance analysis; signal-to-noise ratio value; single-cycle detectors; AWGN; Additive white noise; Detectors; Filtering algorithms; Frequency estimation; Performance analysis; Probability; Signal processing algorithms; Signal to noise ratio; Wave functions; Signal detection, cyclostationarity, prolate spheroidal wave functions;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/T-WC.2008.070639
