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
收藏
页码：19 / +
页数：2
相关论文
共 50 条
  • [41] Cooperative Mobile Positioning Based on Received Signal Strength
    Soork, Ahmad Shafiei
    Saadat, Reza
    Tadaion, Ali Akbar
    2008 INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS, VOLS 1 AND 2, 2008, : 273 - 277
  • [42] Cooperative Mobile Positioning Based on Received Signal Strength
    Saadat, Reza
    Shafiei, Ahmad
    Tadaion, AliAkbar
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2009, E92B (05) : 1912 - 1915
  • [43] Autonomous navigation using received signal strength and bearing-only pseudogradient interpolation
    Deshpande, Nikhil
    Grant, Edward
    Henderson, Thomas C.
    Draelos, Mark T.
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2016, 75 : 129 - 144
  • [44] Rapid Position Estimation and Tracking for Autonomous Driving
    Wang, Patrick K.
    Torrione, Peter A.
    Collins, Leslie M.
    Morton, Kenneth D., Jr.
    UNMANNED SYSTEMS TECHNOLOGY XIV, 2012, 8387
  • [45] Received signal strength characterization for wireless sensor networking
    Flammini, A.
    Marioli, D.
    Mazzoleni, G.
    Sisinni, E.
    Taroni, A.
    2006 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS, VOLS 1-5, 2006, : 207 - +
  • [46] Distributed Location Estimation System using WLAN Received Signal Strength Fingerprints
    Jain, Vinod Kumar
    Tapaswi, Shashikala
    Shukla, Anupam
    2012 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2012, : 3102 - 3106
  • [47] Indoor Distance Estimation with Using Received Signal Strength Indicator (RSSI) Metric
    Turkoral, Turker
    Tamer, Ozgur
    Yetis, Suat
    Inanc, Enes
    Cetin, Levent
    2016 NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND BIOMEDICAL ENGINEERING (ELECO), 2016, : 397 - 401
  • [48] Outdoor Location Estimation Using Received Signal Strength-Based Fingerprinting
    Ning, Chao
    Li, Rui
    Li, Kejiong
    WIRELESS PERSONAL COMMUNICATIONS, 2016, 89 (02) : 365 - 384
  • [49] Self-organizing location estimation method using received signal strength
    Takizawa, Yasuhisa
    Davis, Peter
    Kawai, Makoto
    Iwai, Hisato
    Yamaguchi, Akira
    Obana, Sadao
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2006, E89B (10) : 2687 - 2695
  • [50] Outdoor Location Estimation Using Received Signal Strength-Based Fingerprinting
    Chao Ning
    Rui Li
    Kejiong Li
    Wireless Personal Communications, 2016, 89 : 365 - 384
12345