Method for detecting signals in non-Gaussian background clutter

Details Method for detecting signals in non-Gaussian background clutter Method for detecting signals in non-Gaussian background clutter

1996-10-24

1997-12-02

Voeltz, Emanuel T.

Boots, shoes, and leggings

364574, 342159, 375227, 34031003, H03M 108, H04B 110

Patent

active

056943423

ABSTRACT:
The invention provides a method for detecting signals in non-Gaussian background clutter, comprising the steps of: 1) filtering input data to partition Gaussian input data from non-Gaussian input data; 2) estimating the intensity level of the Gaussian input data; 3) determining the probability distributions of the non-Gaussian input data; 4) determining the background noise level of the input data; 5) estimating noise parameters of the input data; 6) estimating the residual intensity of the input data using the noise parameters; 7) determining a detection statistic M from the input data, estimated noise parameters, and the residual intensity of the input data; 8) determining a standard deviation N.sub.i of the detection statistic, M.sub.i ; 9) determining a normalized detection statistic Si, where S.sub.i =M.sub.i /N.sub.i,; 10) determining a maximum value, S.sub.imax of S.sub.i ; 11) determining a mean value S.sub.Mean and standard deviation S.sub.Std dev of all S.sub.i excluding S.sub.imax ; 12) determining a threshold .tau..sub..alpha. of a zero mean unit variance normal distribution corresponding to a predetermined false alarm probability, where .alpha. is a predetermined false alarm !/S.sub.Std dev .gtoreq..tau..sub..alpha.. The invention may also be implemented as a program storage device readable by a machine which tangibly embodies a program of instructions executable by the machine to perform the above-referenced method steps.

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