基于遗传算法的快速数字化专用集成电路自适应信号处理

H. Takahashi, N. Shaaban, Q.W. Wang, J. Yeom, M. Nakazawa
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引用次数: 2

摘要

化合物半导体探测器的信号处理是扩大中等等级探测器使用的主要问题之一。虽然最好的检测器获得了峰值性能,但根据工艺难度,许多检测器被划分为反级或更低。如果对这种中等等级的探测器进行最佳的信号处理,化合物半导体探测器可以应用于许多不同的辐射测量领域。我们采取了非常灵活的数字化方法来实现这一目标,现在我们正在尝试开发一种专用的ASIC,其中包括多个前置放大器,可变增益放大器和一个芯片中的快速数字化器。遗传算法是一种可应用于许多领域的自适应优化技术。本文介绍了一种基于遗传算法的快速数字化ASIC自适应信号处理方法。
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Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC
Signal processing for compound semiconductor detectors is one of the main issues for expanding use of moderate grade detectors. Although a peak performance is obtained for the best detector, depending on the process difficulty, many detectors are classified into counter grade or less. If optimum signal processing for such moderate grade detectors is developed, compound semiconductor detectors can be applied to many different fields in radiation measurements. We have taken a very flexible digitizing approach to achieve this aim and now we are trying to develop a dedicated ASIC which includes multiple preamplifiers, variable gain amplifiers, and fast digitizers in one chip. Genetic algorithm is an adaptive optimization technique which can be used in many fields. In this paper we describe an adaptive signal processing method with genetic algorithm for a fast digitizer ASIC.
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