ABSTRACT
Several important technical advances make extracting more information from intelligence, surveillance, and reconnaissance sensors very affordable and practical. Next-generation sensors depend on available communication pipes with enough bandwidth to share the individual sensor information effectively across the network. Once the data are posted on the network, the computational resources must exist to maintain low latencies from the time data become available to the time a target geoposition and identification are derived. This chapter discusses the long-term architecture to implement netting of multiple sensor data efficiently. It explores technologies that will guarantee that wireless and terrestrial network resources, storage buffer resources, and computational resources are available for sensor signal processing. Accurately geolocating and identifying mobile targets depends on the extraction of information from different sensor data. An important tool to improve the probability of correct classification with minimal false alarm is high-range resolution profiles.
