Adaptive nonstationary filtering procedure for sea mine classification

Manuel F. Fernandez; Tom Aridgides

doi:10.1117/12.357087

2 August 1999 Adaptive nonstationary filtering procedure for sea mine classification

Manuel F. Fernandez, Tom Aridgides

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.357087
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

This paper presents a novel formulation of the adaptive filtering concept ideally suited for operating in highly non-stationary environments. A new set of filtering weights ins designed for each data point to be processed, using solely information extracted from the immediate vicinity of the data pointing under consideration. A single 'snap-shot' of local data, equal in extent to the filter window is used to estimate the filter weights in this procedure, allowing the filtering to adaptive to all kinds of background variations. Numerical stability is achieved by incorporating to the traditional constraints the requirement that the adaptive weight vector be of unit length, thus providing the added benefit of preserving the white noise floor power.

Citation Download Citation

Manuel F. Fernandez and Tom Aridgides "Adaptive nonstationary filtering procedure for sea mine classification", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.357087

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