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迈向用于微型和微型机器人技术的标准混合信号并行处理架构。

Towards a Standard Mixed-Signal Parallel Processing Architecture for Miniature and Microrobotics.

作者信息

Sadler Brian M, Hoyos Sebastian

机构信息

Army Research Laboratory, Adelphi, MD 20783.

Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX 77843.

出版信息

J Res Natl Inst Stand Technol. 2014 Sep 8;119:529-39. doi: 10.6028/jres.119.020. eCollection 2014.

Abstract

The conventional analog-to-digital conversion (ADC) and digital signal processing (DSP) architecture has led to major advances in miniature and micro-systems technology over the past several decades. The outlook for these systems is significantly enhanced by advances in sensing, signal processing, communications and control, and the combination of these technologies enables autonomous robotics on the miniature to micro scales. In this article we look at trends in the combination of analog and digital (mixed-signal) processing, and consider a generalized sampling architecture. Employing a parallel analog basis expansion of the input signal, this scalable approach is adaptable and reconfigurable, and is suitable for a large variety of current and future applications in networking, perception, cognition, and control.

摘要

在过去几十年里,传统的模数转换(ADC)和数字信号处理(DSP)架构推动了微型和微系统技术的重大进步。传感、信号处理、通信和控制等领域的进展显著提升了这些系统的前景,而这些技术的结合使得微型到微尺度的自主机器人成为可能。在本文中,我们将探讨模拟与数字(混合信号)处理相结合的趋势,并考虑一种通用的采样架构。这种可扩展的方法采用输入信号的并行模拟基扩展,具有适应性和可重构性,适用于网络、感知、认知和控制等当前及未来的多种应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f052/4487301/36c963f8cc87/jres.119.020f1.jpg

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