title: A survey on FPGA-based sensor systems: towards intelligent and reconfigurable low-power sensors for computer vision, control and signal processing.
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.
authors.affiliation: Department of Physics, System Engineering and Signal Theory, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain. gjgg@ua.es.
authors.forename: Gabriel J
authors.initials: GJ
authors.lastname: García
authors.affiliation: Department of Physics, System Engineering and Signal Theory, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain. carlos.jara@ua.es.
authors.forename: Carlos A
authors.initials: CA
authors.lastname: Jara
authors.affiliation: Department of Physics, System Engineering and Signal Theory, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain. jpomares@ua.es.
authors.forename: Jorge
authors.initials: J
authors.lastname: Pomares
authors.affiliation: Department of Physics, System Engineering and Signal Theory, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain. aa77@alu.ua.es.
authors.forename: Aiman
authors.initials: A
authors.lastname: Alabdo
authors.affiliation: Department of Physics, System Engineering and Signal Theory, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain. lmp23@alu.ua.es.
authors.forename: Lucas M
authors.initials: LM
authors.lastname: Poggi
authors.affiliation: Department of Physics, System Engineering and Signal Theory, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain. Fernando.Torres@ua.es.
authors.forename: Fernando
authors.initials: F
authors.lastname: Torres
mesh_terms: D001185:Artificial Intelligence; D003201:Computers; D003625:Data Collection; D011211:Electric Power Supplies; D004581:Electronics; D055096:Optical Devices; D012815:Signal Processing, Computer-Assisted