A novel remote detection system has been devised which will determine the three-dimensional shape of a distant target when it is illuminated by microwaves, sonar, etc. The system images without focussing and uses a detector which is resistant to input overload. Other systems now used (like most radars) do not image except at a crude level. Only a single blip is displayed, whose brightness is related (ambiguously) to reflectivity and size, or very large objects, like weather systems, are delineated, but in detail no smaller than a beam width, by timing the return. Analysis can sometimes be applied (such as in tomography), but that requires copious amounts of data taken from many directions and is computationally intensive and slow. Our system is self-contained, automated, and may require less input information. The Phase II project will determine the parameters necessary to construct a working system, predominantly by computer simulation. Feasibility was demonstrated for the case when radiation has the form of scalar waves (like sound) and impinges on perfect reflectors. Investigation will now consider the use of vector waves (like microwaves) as the illuminating source and will also extend our capability to include partial reflectors as identifiable targets. Then, it will be possible to image objects behind and within multiple layers. Particular emphasis will be placed on determining optimal (and minimal) detector/collector configuration and in improvement of artificial intelligence routines which are used to discern shape. Finally, realistic considerations like sensitivity to noise will be investigated. The end result will be taken to industrial facilities for construction and marketing.
Keywords: Toxic Waste Radar Search And Rescue Remote Identification Imaging Sonar Artificial Intelligence Frie
