摘要
该文利用多个高性能数字信号处理器,结合FPGA和通用处理器,实现了一个空时自适应处理(STAP)的通用实时平台系统。借鉴Valiant(1990)提出的BSP模型,采用多重流水线,提出一个空时自适应处理(STAP)计算模型。该模型可以弥补STAP算法和实际并行系统的差距,为开发提供了统一框架;同时,方便了对算法的性能评估。在基于该模型的具体开发过程中,选择可扩展簇式多处理机结构作为系统硬件架构,采用数据块静态分配方案进行算法的分解与映射,并采取一系列通信和程序优化的方法。结果表明,系统能满足实时要求,可扩展性好,方便类似系统的系列开发。
A universal real-time platform for a Space-Time Adaptive Processing （STAP） is developed. The platform is composed of multi-DSPs, FPGA and a general-purpose processor. Refined from the Bulk Synchronous Parallel model （BSP） by Valiant（1990）, an STAP computation model is brought forward. The model provides a bridge between STAP algorithms and real parallel systems. Moreover, it can be applied to performance evaluation. During the course of development, scalable cluster-organized multi-processors structure is adopted as hardware architecture. And data-block static allocating is taken as the mapping scheme. Afterwards, some optimization methods about communication and programming are introduced. This system can meet the real-time requirement, its scalability is good, and it facilitates the development of similar systems.
出处
《电子与信息学报》
EI
CSCD
北大核心
2006年第2期317-321,共5页
Journal of Electronics & Information Technology
基金
全国高等学校优秀青年教师教学科研奖励计划(TRAPOYT)国家自然科学基金(60272086)资助课题
关键词
数字信号处理
并行处理
空时自适应处理
通用实时平台
DSP, Parallel processing, Space-time adaptive processing, Universal real-time platform
