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The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC on the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communications system control, automatic photointerpretation, time-oriented problem solving, speech understanding systems, knowledge based reasoning and planning, and a knowledge acquisition, assistance, and explanation system. The specific topic for this volume is intelligent signal processing techniques for multi-sensor surveillance systems.

The purpose of this project is to develop an analytical frame work to represent the modern multi-target, multi-sensor surveillance environment and to investigate the adaptation of intelligent signal processing algorithms to that application. The outcome is to be a road map for the development of the system elements and a plan for integrating them into a functional body. Keywords: Target tracking; Signal processing; Radar; Surveillance systems; Artificial intelligence.

The purpose of this project is to develop an analytical frame work to represent the modern multi-target, multi-sensor surveillance environment and to investigate the adaptation of intelligent signal processing algorithms to that application. The outcome is to be a road map for the development of the system elements and a plan for integrating them into a functional body. Keywords: Target tracking; Signal processing; Radar; Surveillance systems; Artificial intelligence.

This article is from Sensors (Basel, Switzerland) , volume 14 . Abstract The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field.