Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier

被引：12
|
作者：
Santucci, Robert W. [1 ]
Banavar, Mahesh K. [1 ]
Tepedelenlioglu, Cihan [1 ]
Spanias, Andreas [1 ]
机构：
[1] Arizona State Univ, Sch Elect Comp & Energy Engn, Sensor & Signal Informat Proc SenSIP Ctr, Tempe, AZ 85287 USA
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2014年 / 61卷 / 01期
基金：
美国国家科学基金会;
关键词：
Amplifiers; distributed estimation; energy efficiency; nonlinearity; predistortion; NETWORKS;
D O I：
10.1109/TCSI.2013.2268354
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper describes the development of an energy-efficient amplify-and-forward distributed estimation scheme using realistic amplifier models. Specifically, a novel algorithm is presented that enables distributed estimation in the presence of amplifier compression resulting from the energy-efficient but non-linear class AB operation. In this system, a digital predistortion scheme is utilized to fit the amplifier at each sensor to a mathematically tractable, soft compression function that roughly mimics the compression region of the amplifier. It is shown both analytically and via simulation that using this scheme has two benefits over linear amplifier operation: improved transmitter efficiency by operating the amplifier in compression, and reduced sensitivity to heavy-tailed distributions due to the soft saturation.
引用
收藏
页码：302 / 311
页数：10
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