DocumentCode
2221373
Title
Detection of unknown signals based on spectral correlation measurements
Author
Yeste Ojeda, Omar A. ; Grajal, Jesus
Author_Institution
Dept. de Senales, Sist. y Radiocomun., Univ. Politec. de Madrid, Madrid, Spain
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
1
Lastpage
5
Abstract
The problem of detecting an unknown signal embedded in white Gaussian noise is addressed. A CFAR detector based on combining the information of the whole frequency-cycle-frequency plane is proposed. An analytical characterization of the detector is provided, and its detection capability evaluated. The FFT-Accumulation Method (FAM) is used to measure the SCF. Approximate analytic expressions of the probability of false alarm are provided.
Keywords
approximation theory; probability; signal detection; white noise; CFAR detector; FAM; FFT-accumulation method; false alarm probability; frequency-cycle-frequency plane; spectral correlation measurements; unknown signal detection problem; white Gaussian noise; Accuracy; Approximation methods; Correlation; Detectors; Noise; Probability; Reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2006 14th European
Conference_Location
Florence
ISSN
2219-5491
Type
conf
Filename
7071463
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