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| A Universal Real-Time Platform for Space-Time Adaptive Processing |
| Shao Yin-bo①②;Li Qiang①; Wang Yong-liang①; Chen Hui①; Xiao Xi-an② |
| ①Key Research Lab., Wuhan Radar Academy, Wuhan 430019, China;②Nanjing Institute of Communications Engineering, Nanjing 210016, China |
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Abstract 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.
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Received: 22 July 2004
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2006, Vol. 28 
