摘要
采用基于CUDA(compute unified device architecture,统一计算设备架构)的GPU(graphic pro-cessing unit,图形处理器)与CPU协作处理方法,实现了基于时差最小测量误差的任意站定位算法的实时处理。本方法的处理速度相较于单CPU平台可以提高一至两个数量级,相较于同等处理速度的多CPU平台则体现了开发周期短、费用低、工作量小和可靠性高等众多优势。
A new method is proposed to implement the real-time random station＇s location based on the least TDOA measure error with CPU and GPU in CUDA. Its processing speed could be improved one or two magnitude compared with single CPU. And it has many advantages compared with multi-CPU platform having the same processing speed, such as shorter development period, lower cost, higher reliability, smaller amount of work and so on.
出处
《电子信息对抗技术》
2012年第2期69-73,共5页
Electronic Information Warfare Technology
关键词
GPU
并行计算
任意站
定位
graphic processing unit
parallel computing
random station
location
