基于FPGA/SoC的机载数据处理方法,支持智能有效载荷的新型火星科学

P. Pingree, J. Blavier, G. Toon, D. Bekker
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引用次数: 15

摘要

一个被称为MARVEL的火星侦察任务正在争夺2011年的发射机会。它的主要仪器之一MATMOS将在对日出和日落的在轨观测期间,以3分钟的短时间爆发产生大量数据。剩余的轨道时间为112分钟,可用于星上数据处理,以便在下行之前减少数据量。这种数据处理严重依赖于浮点fft。Xilinx Virtex-II Pro FPGA在之前的研究任务中进行了评估,但即使具有集成的软核浮点单元(FPU),也无法满足性能要求。下一代Virtex-4 FPGA包含一个辅助处理器单元(APU),为fabric协处理器模块(FCM)与PowerPC405核心提供灵活的高带宽接口。在本文中,我们展示了当在多处理器,双fpga系统中实现时,FPU FCM与APU的耦合提供了足够的计算能力来满足MATMOS的数据处理要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An FPGA/SoC Approach to On-Board Data Processing Enabling New Mars Science with Smart Payloads
A proposed Mars Scout Mission known as MARVEL is vying for the 2011 launch opportunity. One of its primary instruments, MATMOS, will produce large volumes of data in short, 3-minute bursts during its on-orbit observation of sunrise and sunset. The remaining orbit time of 112 minutes is available for on-board data processing to reduce data volume prior to downlink. This data processing relies heavily on floating-point FFTs. The Xilinx Virtex-II Pro FPGA was evaluated in a previous research task, but could not meet the performance requirements, even with an integrated soft-core floating-point unit (FPU). The next-generation Virtex-4 FPGA contains an auxiliary processor unit (APU) that provides a flexible high bandwidth interface for fabric co-processor modules (FCM) to the PowerPC405 core. In this paper we show that coupling the FPU FCM with the APU provides sufficient computation power to meet MATMOS's data processing requirements when implemented in a multi-processor, dual-FPGA system.
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