A discussion on passive location discovery in emitter networks using angle-only measurements

In this paper we discuss the ghost node problem found when triangulation of 2 or more nodes is required. We present and discuss a simple algorithm, termed ABLE (Angle Based Location Estimation), that will position randomly placed emitters in a wireless sensor network using a mobile antenna array. The individual nodes in the network are relieved of the localization task by the mobile antenna system and require no modifications to account for location determination. Furthermore, no beacon nodes (i.e. nodes that know their own position) are required. We provide analysis that indicates a reasonably small number of measurements are required to guarantee the successful localization of the emitting nodes and demonstrate our results through simulation.

[1]  Peter N. Belhumeur,et al.  Further results on sensor network localization using rigidity , 2005, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005..

[2]  Y. Bar-Shalom,et al.  A generalized S-D assignment algorithm for multisensor-multitarget state estimation , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[3]  H.W.L. Naus,et al.  Simultaneous localisation of multiple emitters , 2004 .

[4]  Chris Savarese LOCATIONING IN DISTRIBUTED AD-HOC WIRELESS SENSOR NETWORKS , 2001 .

[5]  Deborah Estrin,et al.  GPS-less low-cost outdoor localization for very small devices , 2000, IEEE Wirel. Commun..

[6]  Peter N. Belhumeur,et al.  A Theoretical Analysis of the Conditions for Unambiguous Node Localization in Sensor Networks , 2004 .

[7]  Rudolf Mathar,et al.  Location tracking of mobiles in cellular radio networks , 1999 .

[8]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[9]  Hari Balakrishnan,et al.  6th ACM/IEEE International Conference on on Mobile Computing and Networking (ACM MOBICOM ’00) The Cricket Location-Support System , 2022 .

[10]  Jan M. Rabaey,et al.  Location in distributed ad-hoc wireless sensor networks , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[11]  Mani B. Srivastava,et al.  Dynamic fine-grained localization in Ad-Hoc networks of sensors , 2001, MobiCom '01.

[12]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[13]  Brian D. O. Anderson,et al.  Rigidity, computation, and randomization in network localization , 2004, IEEE INFOCOM 2004.

[14]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.

[15]  Petre Stoica,et al.  Maximum likelihood methods for direction-of-arrival estimation , 1990, IEEE Trans. Acoust. Speech Signal Process..

[16]  F. Cesbron,et al.  Locating GSM mobiles using antenna array , 1998 .

[17]  E. Falletti,et al.  He LOST-Heliplat LOcalization SysTem based on smart antennas technology , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[18]  Kai Li,et al.  A directionality based location discovery scheme for wireless sensor networks , 2002, WSNA '02.

[19]  Y. Bar-Shalom,et al.  A new relaxation algorithm and passive sensor data association , 1992 .

[20]  Gaetano Borriello,et al.  Location Systems for Ubiquitous Computing , 2001, Computer.

[21]  Y. Bar-Shalom,et al.  m-best S-D assignment algorithm with application to multitarget tracking , 2001 .

[22]  B. R. Badrinath,et al.  Ad hoc positioning system (APS) using AOA , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).