fpga中脉冲定时算法的仿真。

Michael D Haselman, Scott Hauck, Thomas K Lewellen, Robert S Miyaoka
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引用次数: 26

摘要

现代现场可编程门阵列(fpga)能够执行复杂的离散信号处理算法,时钟速率远高于100MHz。这一点,加上FPGA的低成本和易用性,使它们成为脉冲定时的理想技术,是我们下一代临床前PET扫描仪系统电子产品的核心部分。为此,我们的实验室一直在开发一种脉冲时序技术,该技术使用脉冲拟合来实现远低于模数转换器(ADC)采样周期的时序分辨率。虽然采样率超过400MS/s的adc存在,但我们认为使用低采样率的adc对于正电子发射断层扫描(PET)扫描仪具有许多优势。正是在这个前提下,我们开始使用MATLAB模拟时序算法,以便在Verilog中实现算法之前优化参数。MATLAB仿真使我们能够在硬件实现之前快速研究滤波器设计,ADC采样率和真实数据算法。我们报告了最小二乘拟合算法和PMT脉冲前沿检测器的新版本的结果。
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Simulation of Algorithms for Pulse Timing in FPGAs.

Modern Field Programmable Gate Arrays (FPGAs) are capable of performing complex discrete signal processing algorithms with clock rates well above 100MHz. This, combined with FPGA's low expense and ease of use, make them an ideal technology for pulse timing and are a central part of our next generation of electronics for our pre-clinical PET scanner systems. To that end, our laboratory has been developing a pulse timing technique that uses pulse fitting to achieve timing resolution well below the sampling period of the analog to digital converter (ADC). While ADCs with sampling rates in excess of 400MS/s exist, we feel that using ADCs with lowing sampling rates has many advantages for positron emission tomography (PET) scanners. It is with this premise that we have started simulating timing algorithms using MATLAB in order to optimize the parameters before implementing the algorithm in Verilog. MATLAB simulations allow us to quickly investigate filter designs, ADC sampling rates and algorithms with real data before implementation in hardware. We report our results for a least squares fitting algorithm and a new version of a leading edge detector of PMT pulses.

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