Title :
Locally optimum and suboptimum detection of complex-valued cyclostationary signals
Author :
Lundén, Jarmo ; Koivunen, Visa
Author_Institution :
Dept. of Signal Process. & Acoust., Aalto Univ., Espoo, Finland
Abstract :
In this paper, the locally optimum detector for complex-valued cyclostationary signals is derived. Locally optimum detection is the optimum detection scheme for weak signal detection. However, the derived locally optimum detector requires synchronization to the signal to be detected and knowledge of the noise probability density function (pdf) and its parameters. Hence, suboptimum single-cycle detectors of conjugate and nonconjugate cyclostationarity that do not require complete synchronization are considered as well. Moreover, simulation results show that locally optimum and single-cycle detectors designed assuming a complex Cauchy noise model have highly reliable or even optimal performance in heavy-tailed noise and close-to-optimal performance in Gaussian noise.
Keywords :
Gaussian noise; conjugate gradient methods; probability; signal detection; synchronisation; Gaussian noise; complex Cauchy noise model; complex valued cyclostationary signal; conjugate cyclostationarity; nonconjugate cyclostationarity; optimum detector; probability density function; signal detection; suboptimum single cycle detector; synchronization; Cognitive radio; Detectors; Gaussian noise; Probability density function; Signal detection; Signal to noise ratio;
Conference_Titel :
Information Sciences and Systems (CISS), 2012 46th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4673-3139-5
Electronic_ISBN :
978-1-4673-3138-8
DOI :
10.1109/CISS.2012.6310808