Location Verification Systems Based on Received Signal Strength With Unknown Transmit Power

被引:10
|
作者
Yan, Shihao [1 ]
Peters, Gareth W. [2 ]
Nevat, Ido [3 ]
Malaney, Robert [4 ]
机构
[1] Australian Natl Univ, Res Sch Engn, Canberra, ACT 0200, Australia
[2] UCL, Dept Stat Sci, London WC1E 6BT, England
[3] TUMCREATE, Singapore 138602, Singapore
[4] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
基金
澳大利亚研究理事会;
关键词
Physical layer security; location verification; generalized likelihood ratio test; received signal strength; WIRETAP CHANNELS; LOCALIZATION;
D O I
10.1109/LCOMM.2017.2787129
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In the context of location verification systems (LVSs), this letter proves that the knowledge of a legitimate user's transmit power has no effect on the optimal performance of a received signal strength (RSS)-based LVS. Specifically, we prove that the detection performance of a generalized likelihood ratio test (GLRT), where the unknown transmit power is estimated, is identical to that of a differential likelihood ratio test (D-LRT). Our analysis also proves the asymptotic optimality of D-LRT for an RSS-based LVS with unknown transmit power. These results are important for real-world deployments of LVSs, since D-LRT incurs a significantly lower implementation cost relative to GLRT.
引用
收藏
页码:650 / 653
页数:4
相关论文
共 50 条
  • [31] Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems
    Ahmad, Uzair
    Gavrilov, Andrey V.
    Lee, Young-Koo
    Lee, Sungyoung
    SOFT COMPUTING, 2008, 12 (07) : 699 - 713
  • [32] RSS Based Location technique with the unknown transmit power and PLE using dimension reduction
    Zhang, Junhui
    Cheng, Feihong
    Huang, Jiyan
    PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL, 2016, 67 : 1095 - 1099
  • [33] Properties of indoor received signal strength for WLAN location fingerprinting
    Kaemarungsi, K
    Krishnamurthy, P
    PROCEEDINGS OF MOBIQUITOUS 2004, 2004, : 14 - 23
  • [34] Three Dimensional Location Detection Using Received Signal Strength
    Das, Pijush
    Das, Abhijit
    INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, IMAGE PROCESSING AND PATTERN RECOGNITION (ICSIPR 2013), 2013, : 174 - 178
  • [35] Outdoor Location Estimation Using Received Signal Strength Feedback
    Li, Kejiong
    Jiang, Peng
    Bodanese, Eliane L.
    Bigham, John
    IEEE COMMUNICATIONS LETTERS, 2012, 16 (07) : 978 - 981
  • [36] RECURSIVE ALGORITHM OF THE PASSIVE LOCATION IN SENSOR NETWORKS BASED ON MEASUREMENTS OF THE RECEIVED SIGNAL STRENGTH
    Tovkach, I. O.
    Zhuk, S. Ya
    VISNYK NTUU KPI SERIIA-RADIOTEKHNIKA RADIOAPARATOBUDUVANNIA, 2016, (66): : 46 - 55
  • [37] An accurate and fast WLAN user location estimation method based on received signal strength
    Zhang, Minghua
    Zhang, Shensheng
    COMPUTATIONAL SCIENCE - ICCS 2007, PT 3, PROCEEDINGS, 2007, 4489 : 58 - +
  • [38] A New Received Signal Strength Based Location Estimation Scheme for Wireless Sensor Network
    Cheng, Yu-Yi
    Lin, Yi-Yuan
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2009, 55 (03) : 1295 - 1299
  • [39] Novel Received Signal Strength-Based Indoor Location System: Development and Testing
    Alvarez, Yuri
    Elena de Cos, Maria
    Lorenzo, Jose
    Las-Heras, Fernando
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2010,
  • [40] Novel Received Signal Strength-Based Indoor Location System: Development and Testing
    Yuri Álvarez
    MaríaElena de Cos
    José Lorenzo
    Fernando Las-Heras
    EURASIP Journal on Wireless Communications and Networking, 2010