Hardware Implementation of High Speed Bartlett Spectral Density Estimator Based on R4MDC FFT

Abdolvahab Khalili Sadaghiani, Samad Sheikhai
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引用次数: 1

Abstract

Power spectrum analysis is a crucial matter in signal processing. In communication and biomedical signal processing, designing appropriate custom hardware for estimating signal is under everyday research. High frequency power spectrum estimator with embedded systems capabilities and for biomedical applications is the purpose of the current research. Nonparametric power spectral density estimation is the approach of this research in which no specific model is assumed in prior. This paper proposes a low power, high speed hardware with 125 MHz clock frequency rate, which its fast Fourier transform (FFT) engine is implemented with a radix-4 MDC structure. Bartlett method has been implemented in this research. The Artix-7 is the utilized FPGA in this research and VHDL is the used hardware design language. The proposed design computes Bartlett Power Spectral Density (PSD) estimation with only two added hardware units to a modified FFT engine. The offered limited power hardware performs well in small Word Length and high clock frequency.
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基于R4MDC FFT的高速Bartlett谱密度估计器的硬件实现
功率谱分析是信号处理中的一个关键问题。在通信和生物医学信号处理中,设计合适的自定义硬件来估计信号是人们日常研究的课题。具有嵌入式系统功能和生物医学应用的高频功率谱估计器是当前研究的目的。非参数功率谱密度估计是本研究的一种方法,在此方法中没有预先假设特定的模型。本文提出了一种时钟频率为125 MHz的低功耗、高速硬件,其快速傅里叶变换(FFT)引擎采用基数-4 MDC结构实现。本研究采用了Bartlett方法。本文采用的FPGA为Artix-7,硬件设计语言为VHDL。提出的设计计算巴特利特功率谱密度(PSD)估计只增加两个硬件单元到一个改进的FFT引擎。所提供的有限功率硬件在小字长和高时钟频率方面表现良好。
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