Method for Detecting Signals in Non-Gaussian Background Clutter
Patent, Filed 24 Oct 96, patented 2 Dec 97
DEPARTMENT OF THE NAVY WASHINGTON DC
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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.
- Radiofrequency Wave Propagation