Title :
On the false alarm probability for an overlapped FFT processor
Author :
Maranda, Brian H.
Author_Institution :
Defence Res. Establ. Atlantic, Dartmouth, NS, Canada
fDate :
10/1/1996 12:00:00 AM
Abstract :
A standard processor for detecting narrowband signals in noise applies the fast Fourier transform (FFT) to overlapped data blocks, and then sums the squared magnitudes of the bins from successive FFTs. The overlap of the data blocks causes these bins to be correlated, even when the noise is white. A simple expression is derived for the probability of false alarm when the covariance matrix of the FFT bins is tridiagonal
Keywords :
covariance matrices; fast Fourier transforms; probability; signal detection; white noise; false alarm probability; narrowband signals; overlapped FFT processor; overlapped data blocks; squared magnitudes; tridiagonal covariance matrix; white noise; Covariance matrix; Detectors; Fast Fourier transforms; Flexible printed circuits; Frequency; Narrowband; Signal detection; Signal processing; Statistics; White noise;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
