Emitter Location Finding using Particle Swarm Optimization

Using several spatially separated receivers, nowadays positioning techniques, which are implemented to determine the location of the transmitter, are often required for several important disciplines such as military, security, medical, and commercial applications. In this study, localization is carried out by particle swarm optimization using time difference of arrival. In order to increase the positioning accuracy, time difference of arrival averaging based two new methods are proposed. Results are compared with classical algorithms and Cramer-Rao lower bound which is the theoretical limit of the estimation error.

[1]  Jaume Riba Sagarra,et al.  Average performance analysis of circular and hyperbolic geolocation , 2006 .

[2]  Omer Cakir,et al.  Dynamic orientation of receiver arrays using particle swarm optimisation , 2013 .

[3]  Pak-Chung Ching,et al.  Time-of-arrival based localization under NLOS conditions , 2006, IEEE Transactions on Vehicular Technology.

[4]  Ayhan Yazgan,et al.  A comparative study between LMS and PSO algorithms on the optical channel estimation for radio over fiber systems , 2014 .

[5]  Alfred O. Hero,et al.  Relative location estimation in wireless sensor networks , 2003, IEEE Trans. Signal Process..

[6]  Ismail Kaya,et al.  Different perspective of time difference of arrival averaging , 2012, 2012 35th International Conference on Telecommunications and Signal Processing (TSP).

[7]  J. Smith,et al.  The spherical interpolation method of source localization , 1987 .

[8]  Ken-Huang Lin,et al.  Distance Difference Error Correction by Least Square for Stationary Signal-Strength-Difference-Based Hyperbolic Location in Cellular Communications , 2008, IEEE Transactions on Vehicular Technology.

[9]  P. Chestnut Emitter Location Accuracy Using TDOA and Differential Doppler , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[10]  R. Michael Buehrer,et al.  Handbook of Position Location: Theory, Practice and Advances , 2011 .

[11]  Junlin Yan,et al.  A Framework for Low Complexity Least-Squares Localization With High Accuracy , 2010, IEEE Transactions on Signal Processing.

[12]  Peter Brida,et al.  Optimization of rank based fingerprinting localization algorithm , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[13]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[14]  Petr,et al.  Optimization of Transient Response Radiation of Printed Ultra Wideband Dipole Antennas ( Using Particle Swarm Optimization Method ) , 2007 .

[15]  Frankie K. W. Chan,et al.  Closed-Form Formulae for Time-Difference-of-Arrival Estimation , 2008, IEEE Transactions on Signal Processing.

[16]  Thomas Kleine-Ostmann,et al.  A data fusion architecture for enhanced position estimation in wireless networks , 2001, IEEE Communications Letters.

[17]  Andries Petrus Engelbrecht,et al.  A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[18]  Jacob Benesty,et al.  Time-delay estimation via linear interpolation and cross correlation , 2004, IEEE Transactions on Speech and Audio Processing.

[19]  Vladimir Schejbal,et al.  Bistatic and Multistatic Radar Systems , 2008 .

[20]  Yiu-Tong Chan,et al.  Exact and approximate maximum likelihood localization algorithms , 2006, IEEE Trans. Veh. Technol..

[21]  L.M. Kaplan,et al.  Global node selection for localization in a distributed sensor network , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[22]  R. Schmidt Least squares range difference location , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[23]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[24]  A. Neri,et al.  Local positioning services on IEEE 802.11 networks , 2007, 2007 19th International Conference on Applied Electromagnetics and Communications.

[25]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[26]  Application of particle swarm optimization with stochastic inertia weight and adaptive mutation in target localization , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[27]  Xinrong Li,et al.  Collaborative Localization With Received-Signal Strength in Wireless Sensor Networks , 2007, IEEE Transactions on Vehicular Technology.

[28]  Qiu Yan,et al.  PSO Based Passive Satellite Localization Using TDOA and FDOA Measurements , 2011, 2011 10th IEEE/ACIS International Conference on Computer and Information Science.

[29]  Peter Brida Geometric Algorithm for Received Signal Strength Based Mobile Positioning , 2005 .

[30]  K. C. Ho,et al.  An accurate algebraic solution for moving source location using TDOA and FDOA measurements , 2004, IEEE Transactions on Signal Processing.

[31]  Weihua Zhuang,et al.  Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems , 2002, IEEE Trans. Wirel. Commun..

[32]  David Girbau,et al.  Energy Analysis of Received Signal Strength Localization in Wireless Sensor Networks , 2011 .

[33]  R. Dolecek,et al.  The Time Difference of Arrival estimation of Wi-Fi signals using received signal decomposition on delayed replicas , 2008, 2008 11th International Biennial Baltic Electronics Conference.

[34]  Mark L. Fowler,et al.  Finding optimal trajectory points for TDOA/FDOA geo-location sensors , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

[35]  K. C. Ho,et al.  A simple and efficient estimator for hyperbolic location , 1994, IEEE Trans. Signal Process..

[36]  A. van der Veen,et al.  Localization with TOA as a constrained robust stochastic least squares problem , 2008, 2008 IEEE International Conference on Ultra-Wideband.

[37]  La-or Kovavisaruch,et al.  Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution , 2007, IEEE Transactions on Signal Processing.

[38]  Sandeep K. S. Gupta,et al.  Single-anchor indoor localization using a switched-beam antenna , 2009, IEEE Communications Letters.

[39]  Konstantinos N. Plataniotis,et al.  Data fusion of power and time measurements for mobile terminal location , 2005, IEEE Transactions on Mobile Computing.

[40]  Wen-Jun Zeng,et al.  High-Resolution Multiple Wideband and Nonstationary Source Localization With Unknown Number of Sources , 2010, IEEE Transactions on Signal Processing.

[41]  R. Schmidt A New Approach to Geometry of Range Difference Location , 1972, IEEE Transactions on Aerospace and Electronic Systems.

[42]  William A. Gardner,et al.  Signal-selective time-difference-of-arrival estimation for passive location of man-made signal sources in highly corruptive environments. I. Theory and method , 1992, IEEE Trans. Signal Process..

[43]  Ken-Huang Lin,et al.  On the Accuracy Analysis of the Distance-Difference Estimation for SSSD Positioning Method in Wireless Communications , 2007, 2007 IEEE International Conference on Communications.