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
  • [21] Indoor/outdoor location of cellular handsets based on received signal strength
    Zhu, J
    Durgin, GD
    VTC2005-SPRING: 2005 IEEE 61ST VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, PROCEEDINGS, 2005, : 92 - 96
  • [22] Improving RF Transmit Power and Received Signal Strength in 2.4 GHz ZigBee Based Active RFID System with Embedded Method
    Po'ad, F. A.
    Ismail, W.
    Jusoh, J. F.
    INTERNATIONAL RESEARCH AND INNOVATION SUMMIT (IRIS2017), 2017, 226
  • [23] A Comparative View on Received Signal Strength (RSS) Based location Estimation in WSN
    Bohidar, Swagatika
    Behera, Sasmita
    Tripathy, Chitta Ranjan
    2015 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY (ICETECH), 2015, : 79 - 85
  • [24] Received Signal Strength Indication Difference Location Algorithm Based on Kalman Filter
    Geng Youlin
    Xie Chengbo
    Yin Chuan
    Guo Lantu
    Wang Xianyi
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2019, 41 (02) : 455 - 461
  • [25] Outdoor Location Estimation Using Received Signal Strength-Based Fingerprinting
    Ning, Chao
    Li, Rui
    Li, Kejiong
    WIRELESS PERSONAL COMMUNICATIONS, 2016, 89 (02) : 365 - 384
  • [26] Outdoor Location Estimation Using Received Signal Strength-Based Fingerprinting
    Chao Ning
    Rui Li
    Kejiong Li
    Wireless Personal Communications, 2016, 89 : 365 - 384
  • [27] Automatic Device-Location Association based on Received Signal Strength Measurements
    Wang, Yulong
    Li, Shenghong
    Ni, Wei
    Abbott, David
    Johnson, Mark
    Pei, Guangyu
    Hedley, Mark
    2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL), 2020,
  • [28] RECEIVED SIGNAL STRENGTH LOCALIZATION WITH AN UNKNOWN PATH LOSS EXPONENT
    Chan, Y. T.
    Lee, B. H.
    Inkol, R.
    Chan, F.
    2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2011, : 456 - 459
  • [29] Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems
    Uzair Ahmad
    Andrey V. Gavrilov
    Young-Koo Lee
    Sungyoung Lee
    Soft Computing, 2008, 12 : 699 - 713
  • [30] Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems
    Narzullaev A.
    Selamat M.H.
    Sharif K.Y.
    Muminov Z.
    International Journal of Information and Communication Technology, 2019, 14 (02) : 175 - 188