作者: Brandon Kam , Benjamin Miller , Joel Goodman , Gil Raz
DOI: 10.1109/HPCMP-UGC.2006.51
关键词: Electronic engineering 、 Radio frequency 、 Nonlinear distortion 、 Engineering 、 Computational complexity theory 、 Greedy algorithm 、 Radar 、 Supercomputer 、 Signal processing 、 Robustness (computer science)
摘要: This paper describes the need for High Performance Computing (HPC) to facilitate development and implementation of a nonlinear equalizer that is capable mitigating and/or eliminating distortion extend dynamic range radar front-end receivers decades beyond analog state-of-the-art. The search space optimal equalization (NLEQ) solution computationally intractable using only single desktop computer. However, we have been able leverage combination an efficient greedy with high performance computing technologies LLGrid MatlabMPI construct NLEQ architecture extending Radar by over 25dB.