Adaptive Power Spectral Estimation Using Distributed Wireless Sensor Networks

被引：0

作者：

Nosrati, Hamed ^{[1
]}

Taheri, Sayed Mostafa ^{[2
]}

Shamsi, Mousa ^{[1
]}

Sedaaghi, Mohammd Hossein ^{[1
]}

机构：

[1] Sahand Univ Technol, Fac Elect Engn, Tabriz, Iran

[2] Barthawa Inst Technol, Commun & Informat Syst Grp, Mashahd, Iran

来源：

2014 9TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS & DIGITAL SIGNAL PROCESSING (CSNDSP) | 2014年

关键词：

Autoregressive process; Adaptive signal processing; Adaptive networks; Distributed estimation; Power spectral estimation; Wireless sensor networks; CLASSIFICATION; STRATEGIES; SQUARES;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose three different algorithms capable of facing spatio-temporal variations for parametric modeling and power spectral density (PSD) estimation using Wireless Sensor Networks (WSNs). To do this, we first validate the proposed algorithms using theoretical and mathematical formulations. Afterwards, employing simulation tasks supports the results. In the next compartment of the paper to illustrate the concepts, we analyze and compare the performance of these algorithms with each other and with simple PSD estimation using individual sensors, wherein there is no cooperation.

引用

页码：128 / 133

页数：6

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