Separable implementation of the second order Volterra filter (SOVF) in Xilinx Virtex-E FPGA

M. Al-Mistarihi
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引用次数: 3

Abstract

Post-beamforming second order Volterra filter (SOVF) was previously introduced for decomposing the pulse echo ultrasonic radio-frequency (RF) signal into its linear and quadratic components. Using singular value decomposition (SVD), an optimal minimum-norm least squares algorithm for deriving the coefficients of the linear and quadratic kernels of the SOVF was developed and verified. The ldquoseparablerdquo implementation algorithm of a SOVF based on the eigenvalue decomposition (EVD) of the quadratic kernel was introduced and verified. In this paper, the ldquoSeparablerdquo version of a second order Volterra filter is implemented in Xilinx Virtex-E FPGA. Parallel operation, efficient use of instructions per task, and data streaming capability of FPGA are identified. This implementation should allow for real-time implementation of quadratic filtering on commercial ultrasound scanners.
二阶Volterra滤波器(SOVF)在Xilinx Virtex-E FPGA上的可分离实现
波束形成后二阶Volterra滤波器(SOVF)用于将脉冲回波超声射频(RF)信号分解为线性和二次分量。利用奇异值分解(SVD),提出并验证了求解SOVF线性核和二次核系数的最优最小范数最小二乘算法。介绍了基于二次核特征值分解(EVD)的SOVF的ldquo可分离实现算法,并对其进行了验证。本文在Xilinx Virtex-E FPGA上实现了ldquoSeparablerdquo版本的二阶Volterra滤波器。指出了FPGA的并行运算、每任务指令的高效使用和数据流能力。这种实现应该允许在商业超声扫描仪上实时实现二次滤波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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