基于ASK事件的解调与数字IQ解调的比较

Alexis Rodrigo Iga Jadue, S. Engels, L. Fesquet
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引用次数: 0

摘要

本文对两种ASK解调技术进行了比较。第一个是传统IQ解调的数字实现,而第二个是连接到EB-ADC(基于事件的ADC)的新型数字解调算法,用于最大限度地减少处理事件的数量。EB-ADC采用简化的LCSS(电平交叉采样方案)设计,只有2个电平,连接到两个用于数字化过程的强臂比较器。电子模拟用于表征这些比较器,以便将它们集成到全数字SystemVerilog (SV)仿真中。在SV中对python库进行了改进,用于模拟射频输入信号及其幅值噪声。该实现的算法得益于测量两个相邻事件之间经过的时间,从而提高了解调器性能和噪声弹性,例如,在调制指数(MI)为10%时,BER= 3.33\cdot 10^{-7}$,信噪比为16 dB,比特率为6.78 Mbps。该提案最近被发送到FDSOI 28nm意法半导体技术的制造中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison between an ASK Event-Based Demodulation and a Digital IQ Demodulation
This paper presents a comparison between two ASK demodulation techniques. The first one is a digital implementation of a traditional IQ demodulation, while the second is a novel digital demodulation algorithm connected to an EB-ADC (Event-Based ADC) for minimizing the number of processed events. The EB-ADC has been designed using a reduced LCSS (Level Crossing Sample Scheme) with only 2 levels, connected to two strong-arm comparators for the digitalization process. Electrical simulations were used to characterize these comparators for integrating them in a full digital SystemVerilog (SV) simulation. An adaptation of python’s library has been modeled in SV for simulating the RF input signal and its amplitude noise. This implemented algorithm benefits from the measurement of the time elapsed between two adjacent events improving the demodulator performance and noise resiliency, reaching, for instance, a BER=$3.33\cdot 10^{-7}$ for a modulation index (MI) of 10%, a SNR of 16 dB and a bitrate of 6.78 Mbps. This proposal was recently sent to fabrication in FDSOI 28nm STMicroelectronics technology.
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