THE DETECTION PERFORMANCE OF FFT PROCESSORS FOR NARROWBAND SIGNALS

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Authors
  1. Walker, R.S.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN)
Abstract
The report analyses the detection performance of the Fast Fourier Transform (FFT) type signal processor for narrowband signals in white Gaussian noise. Sinusoidal and narrowband Gaussian signals are considered. The signal processor structure is based on the short-time averaged periodogram approach to spectral estimation. Processor parameters considered in the study include time-bandwidth product, data windowing, periodogram overlap, FFT zeroes extension and data normalization. A building-block approach is adopted, whereby the effects of each parameter on the detection threshold can be determined. Results are presented in graphical form. Hence, for a selected set of processor parameters, the appropriate detection threshold can be readily obtained. A thorough mathematical treatment of the problem is presented in the Appendices.
Report Number
DREA-TM-82-A — Technical Memorandum
Date of publication
15 Feb 1982
Number of Pages
107
DSTKIM No
82-01776
CANDIS No
36264
Format(s):
Hardcopy;Originator's fiche received by DSIS;Document Image stored on Optical Disk

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