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Sensors designed to neutralize lowvalue targets, such as tanks, trucks, and counter-fire batteries, are generally of low cost (several thousand to tens of thousands of dollars), whereas sensors designed for high-value targets such as aircraft, ships, and bridges can cost hundreds of thousands of dollars. One of the goals of multiple-sensor systems is to reduce the cost of smart munitions and tracking systems, whether for the lowor high-value target. This can be achieved by using combinations of lower-cost sensors, each of which responds to different signature-generation phenomena, to obtain target classification and state-estimation information previously available only with expensive sensors that responded to data generated by a single phenomenon.

Peak absorption occurs in the microwave and millimeter-wave spectra at approximately 22, 60, 118, 183, and 320 GHz. Absorption at 60 and 118 GHz is due to oxygen, while absorption at the other frequencies is due to water vapor. 12) are due to molecular rotations and vibrations that occur in atmospheric molecules. 5 m is constrained at the upper end by water vapor absorption. 3 m to 3 cm. bounded on the lower and upper ends by water vapor absorption. An absorption peak in the middle of the band is due to carbon dioxide.

1 Data Fusion Applications to Multiple-Sensor Systems Smart munitions use multiple-sensor data to precisely guide warheads and missiles to the desired targets by providing real-time tracking and object classification information, while simultaneously minimizing risk or injury to the personnel launching the weapon. Other applications of data fusion include aircraft and missile tracking with multiple sensors located on spatially separated platforms (ground-, air-, sea-, or space-based, or in any combination) or on collocated platforms.

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Artificial Intelligence. Structures and Strategies for Complex Problem Solving by Luger, Stubblefield

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