TY - JOUR

T1 - Analytical Solution of Stage-dependent Bit Resolution of Full Parallel Variable Point FFTs for Real-time DSP Implementation

AU - Zhang, Junjie

AU - Wang, James

AU - Giddings, Roger

AU - Zhang, Qianwu

AU - Peng, Junjie

AU - Chen, Jian

AU - Tang, Jianming

N1 - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

PY - 2018/11/15

Y1 - 2018/11/15

N2 - Digital signal processing (DSP) is a major driving force for cost-effectively realizing “software-defined anything” required by future converged networks. The fast Fourier transform (FFT) is a fundamental building block of an overwhelming majority of those DSP algorithms. For practical real-time implementation, the logic resource usage reduction of FFT operations is critical for considerably decreasing the hardware cost and power consumption. In this paper, a simple and effective solution of stage-dependent minimum bit resolution of full parallel variable-point FFTs is analytically derived, for the first time, whose validity and robustness are rigorously verified, both numerically and experimentally, over intensity modulation and direct detection (IMDD) optical OFDM transmission systems. The developed solution has unique advantages including great simplicity, excellent accuracy and robustness, and significant saving in logic resource usage. The solution can ease the practical real-time FFT DSP design, decrease the DSP complexity and maximize the overall system performance by making full use of available transceiver/system design parameters.

AB - Digital signal processing (DSP) is a major driving force for cost-effectively realizing “software-defined anything” required by future converged networks. The fast Fourier transform (FFT) is a fundamental building block of an overwhelming majority of those DSP algorithms. For practical real-time implementation, the logic resource usage reduction of FFT operations is critical for considerably decreasing the hardware cost and power consumption. In this paper, a simple and effective solution of stage-dependent minimum bit resolution of full parallel variable-point FFTs is analytically derived, for the first time, whose validity and robustness are rigorously verified, both numerically and experimentally, over intensity modulation and direct detection (IMDD) optical OFDM transmission systems. The developed solution has unique advantages including great simplicity, excellent accuracy and robustness, and significant saving in logic resource usage. The solution can ease the practical real-time FFT DSP design, decrease the DSP complexity and maximize the overall system performance by making full use of available transceiver/system design parameters.

U2 - 10.1109/JLT.2018.2870144

DO - 10.1109/JLT.2018.2870144

M3 - Article

VL - 36

SP - 5177

EP - 5187

JO - Journal of Lightwave Technology

JF - Journal of Lightwave Technology

SN - 0733-8724

IS - 22

ER -