Abstract: Intelligent hard-target weapons provide a real-time estimation of a medium as the weapon is penetrating through it. Input signals are provided by an accelerometer used as a primary sensor. On-line concurrent processing of the data of a specific length facilitates a few different modes of feature extraction. The processor provides a robust, real-time decision making for the fuze utilizing sensor signals (accelerometer data). The feature sets utilized include (1) amplitude profiles of the signals, (2) their derivative profiles, and (3), the measure of their abrupt changes. The purpose is to provide for detonation at the proper point as the high-speed penetrator passes through various layers such as concrete, steel, dirt, sand, etc. on its way to a valuable buried target. Real-time decision making is provided for the fuze utilizing accelerometer data.

Abstract: For all-weather active optical proximity sensors, the technique extracts a proper target signal from the mixture of target and aerosol returns. A waveform extraction method and a spectral extraction technique are used. The waveform extraction method examines the changes of the mixed signals in the time domain by using derivatives and other pertinent parameters. The spectral extraction method extracts the target signature by bandpass filtering the transform coefficients after taking orthogonal transformations of the mixed data. Using the former, a portion of a data set is segmented to include target and aerosol returns only. The latter method is applied to the segmented portion.An outline of the method is stated in the following.(1) Smooth the data distribution curve.(2) Using the waveform extraction technique, identify the critical interval which may represent the target return signal, if any.(3) Segment the neighborhood which includes the critical interval and the aerosol return signal, if any.