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Real-time and extensible calculation of STAP weights on FPGA

机译:在FPGA上实时和可扩展地计算STAP权重

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Space-Time Adaptive Processing (STAP) technique can restrain the effects of interference and clutter effectively. However, the calculation of STAP weights, including QR decomposition (QRD) and solving linear equations needs intensive computation. This paper mainly focuses on improving the QRD algorithm and presents an efficient FPGA design, based on floating point IP core, which can meet the requirement of real-time and extensible computation of adaptive weights. In this work, the structure of QRD algorithm is adjusted for efficient implementation and the design is introduced in detail. The simulation by Modelsim software shows that the QRD time is 18.306us for 9 × 36 data matrix when the design works on 250MHZ and the platform is XC7Z020 FPGA.
机译:空时自适应处理(STAP)技术可以有效地抑制干扰和混乱的影响。但是,STAP权重的计算(包括QR分解(QRD)和求解线性方程式)需要大量计算。本文主要着眼于改进QRD算法,并提出了一种基于浮点IP核的高效FPGA设计,可以满足自适应权重的实时和可扩展计算的要求。在这项工作中,QRD算法的结构进行了调整,以实现高效实现,并详细介绍了该设计。通过Modelsim软件进行的仿真表明,当设计在250MHZ上并且平台为XC7Z020 FPGA时,对于9×36数据矩阵,QRD时间为18.306us。

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