Handheld One-Way Voice Communications System
Small Business Information
4027 Colonel Glenn Highway,, Suite 210, Dayton, OH, 45431
AbstractNot Available Chirp Corporation's biomimetic SAS software detects and classifies buried mines by using clutter feature images. A weakly reflecting target appears as a distinctively shaped hole in surrounding volume clutter. Chirp's rotation-invariant target classifier uses dolphin-like signals for mine discrimination. Mines are also discriminated from other objects by using composite rough/smooth feature images that identify the relatively smooth outer case along with reflections of rough, granular explosive from inside the mine. Chirp uses a semi-coherent, Doppler tolerant broadband tomographic imaging system that is easier to implement and is more robust than fully coherent SAS. All signal processing functions are commensurate with animal sensory system capabilities. Chrip's SAS is equivalent to back projection tomography (as in medical imaging) but is more general because it utilizes feature images and image-based tracking for motion compensation. Higher cognitive function can be emulated by top-down/bottom-up SAS processing, which corresponds to algebraic reconstruction (ART). ART-SAS can be used for image interpretation, sharpening, and multi-path combining via a RAKE-like matched field processor. Area coverage rate is increased by using rotated wavelet models of dolphin space-time transmission patterns, high power pulsed sources, and/or low frequency Doppler tolerant bat-like FM signals. Objectives are to test and develop this system.
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