Position Estimation and Tracking of an Autonomous Mobile Sensor using Received Signal Strength

被引：6

作者：

Black, Timothy J. ^{[1
]}

Pathirana, Pubudu N. ^{[2
]}

Nahavandi, Saeid ^{[1
]}

机构：

[1] Deakin Univ, Ctr Intelligent Syst Res, Geelong, Vic 3217, Australia

[2] Deakin Univ, Sch Engn & IT, Geelong, Vic 3217, Australia

来源：

ISSNIP 2008: PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS, AND INFORMATION PROCESSING | 2008年

关键词：

D O I：

10.1109/ISSNIP.2008.4761956

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：

In this paper, an algorithm for approximating the path of a moving autonomous mobile sensor with an unknown position location using Received Signal Strength (RSS) measurements is proposed. Using a Least Squares (LS) estimation method as an input, a Maximum-Likelihood (ML) approach is used to determine the location of the unknown mobile sensor For the mobile sensor case, as the sensor changes position the characteristics of the RSS measurements also change; therefore the proposed method adapts the RSS measurement model by dynamically changing the pass loss value alpha to aid in position estimation. Secondly, a Recursive Least-Squares (RLS) algorithm is used to estimate the path of a moving mobile sensor using the Maximum-Likelihood position estimation as an input. The performance of the proposed algorithm is evaluated via simulation and it is shown that this method can accurately determine the position of the mobile sensor, and can efficiently track the position of the mobile sensor during motion.

引用

页码：19 / +

页数：2

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