THE MULTI-WINDOW METHOD OF SPECTRAL ESTIMATION AND THE JACKKNIFE TOOL APPLIED TO ARRAY PROCESSING

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Authors
  1. Swingler, D.N.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN);Saint Mary's Univ, Halifax NS (CAN) Div of Engineering
Abstract
Examines the Multi-Window method of spectral estimation and its role in resolving detecting tonals in noise. It is demonstrated that unless the signals have a separation of several times the classical Rayleigh limit, the detection process becomes excessively complex. However if the primary problem is that of dynamic range across the spectrum of interest, with attendant leakage (bias) problems in the estimation of weaker components, then the adaptive version of the Multi-Window method becomes attractive. A second area explored in the report involves the statistical tool known as the Jackknife which permits the estimation of the variance of a parameter of interest directly from the same data from which the parameter estimate itself was made. The technique is shown to be useful in the classic problem of estimating the frequencies, amplitudes and initial phases of a set of sinusoids in noise. Finally, the Multi-Window approach and the Jackknife tool are combined to yield estimates of the variance of the Multi-Window spectral estimates.
Keywords
WINDOWING;ARRAY SHADING;MULTI-WINDOW PROCESSING;PROLATE-SPHEROIDAL WINDOWS;JACKKNIFE ESTIMATION
Report Number
DREA-CR-93-485 — Contractor Report
Date of publication
13 Dec 1993
Number of Pages
87
DSTKIM No
95-00052
CANDIS No
144168
Format(s):
Hardcopy;Document Image stored on Optical Disk

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