ON THE FALSE ALARM PROBABILITY FOR AN OVERLAPPED FFT PROCESSOR

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Authors
  1. Maranda, B.H.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN)
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
False alarm probability;Overlapped Fast Fourier Transforms
Date of publication
30 Oct 1996
Number of Pages
5
Reprinted from
IEEE Transactions on Aerospace and Electronic systems, vol 32, no 4, 1996, p 1452-1456
DSTKIM No
97-00962
CANDIS No
501385
Format(s):
Hardcopy;Document Image stored on Optical Disk

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