Title :
A multiple SIMD approach to radar signal processing
Author :
Åhlander, Anders ; Taveniku, Mikael ; Svensson, Bertil
Author_Institution :
Centre for Comput. Syst. Archit., Halmstad Univ., Sweden
Abstract :
Next generation radar systems, with phase-controlled array antennas, will have to process data that is many times larger than in current systems. This requires an enormous computing power. Even in a relatively small airborne radar system, with hard size and power consumption constraints, a sustained computing power of 40 GOPS (or 40 GFLOPS, if floating point calculations are used) will be needed to perform only the subset of the calculations known as the space-time adaptive processing (STAP). Consequently, there is a need for new parallel computing modules, as well as new overall system architectures and application development environments. In this paper a modular architecture with highly parallel SIMD-modules is presented as a promising solution, capable of handling STAP. A version of the architecture, equipped with bit-serial floating point processing elements, is described and evaluated. Implementation technology aspects are discussed
Keywords :
adaptive signal processing; airborne radar; array signal processing; floating point arithmetic; parallel architectures; radar computing; radar signal processing; STAP; airborne radar; bit-serial floating point processing elements; computing power; highly parallel SIMD-modules; modular architecture; multiple SIMD approach; parallel computing modules; phase-controlled array antennas; radar signal processing; space-time adaptive processing; Computer architecture; Concurrent computing; Energy consumption; Jamming; Microwave antenna arrays; Parallel processing; Phased arrays; Radar antennas; Radar signal processing; Signal processing algorithms;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608457