Method for detecting weak signals in a non-gaussian and non-stat

Details Method for detecting weak signals in a non-gaussian and non-stat Method for detecting weak signals in a non-gaussian and non-stat

1998-06-24

2000-03-14

Assouad, Patrick

Data processing: measuring, calibrating, or testing

Measurement system

Measured signal processing

702179, 342159, H03M 108

Patent

active

06038526&

ABSTRACT:
A method is described for detecting weak signals in a non-Gaussian and non-stationary background using a hidden Markov parameter estimator. The method comprises the steps of: a) partitioning input data into sets of range bins, where the input data has a noise component; b) estimating hidden Markov model parameters from the input data; c) determining the average intensity I.sub.i of the range bins, where i represents an index for the ranges bins, and 1.ltoreq.i .ltoreq.R, and R represents the total number of range bins; d) estimating the average noise intensity N.sub.i of each range bin; e) determining the residual intensity estimates .rho..sub.i of each range bin as the maximum of 0 and (I.sub.i -N.sub.i) for all values of i; f) transforming the hidden Markov model parameters into estimates of hidden Markov model parameters of the noise component of the input data; g) generating modified locally optimal detection statistics representing the likelihood that the input data for the range bins contains a signal of interest using the estimates of the hidden Markov model parameters of the noise component of the input data, the residual intensity estimates, and the input data; h) transforming the modified locally optimal detection statistic into normalized values of the detection statistics applied to each range bin; and i) generating a detection output signal if any of the normalized values of the detection statistics exceeds a threshold.

REFERENCES:
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patent: 5694342 (1997-12-01), Stein
Hummels, D.M. and Jiao Ying, "Locally Optimal Detection of Unknown Signals n Non-Gaussuan Markov Noise," Proceedings of the 34th Midwest Symposium on Circuits and Systems, vol. 2, pp. 1098-1011, (Orono, Maine), May 14, 1991.
Stein, David W. J., "Detection of Random Signals in Gaussian Mixture Noise," IEEE Transactions on Information Theory, vol. 41, No. 6, pp. 1788-1801, Nov. 1995.
Detection of Random and Sinusoidal Signals in Hidden Markov Noise, Conference Record of the Thirtieth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 464-468, (San Diego, CA) Nov. 3, 1996.
Stein, David W. J., "Applying Hidden Markov Models to Radar Detection in Clutter," Radar 97 Conference Publication, No. 449, pp. 586-590, (San Diego, CA) Oct. 1997.

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