Accession Number:

ADD018952

Title:

Method for Detecting Signals in Non-Gaussian Background Clutter

Descriptive Note:

Patent, Filed 24 Oct 96, patented 2 Dec 97

Corporate Author:

DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s):

Report Date:

1997-12-02

Pagination or Media Count:

19.0

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 Ni of the detection statistic Mi 9 determining a normalized detection statistic Si, where SiMiNi 10 determining a maximum value. Simax of Si 11 determining a mean value SMean and standard deviation SStd dev of all Si excluding Simax 12 determining a threshold taualpha of a zero mean unit variance normal distribution corresponding to a predetermined false alarm probability, where alpha is a predetermined false alarm probability and 13 generating an output signal if Si-SMeanSStd dev greater than or equal taualpha. 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.

Subject Categories:

  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE