Cooperative Localization Algorithm Based on Reference Selection of Selective Weighting ILS Technique

The choice of the reference node in the Least Squares (LS) approach based on received signal strength (RSS) is an important aspect that can have a significant impact on localization accuracy. Recently, a LS selective and weighting approach was proposed in the non cooperative frame for localization in NLOS environments. In this paper, we rather consider the cooperative scenario and we optimize the reference node choice. By analyzing the objective function of LS algorithm, a new cooperative method for selecting the reference node is proposed, which selects the reference node based on two existing algorithms for reference selection (RS) minimum residual and residual weighting for reference selection (RS) to form a new algorithm which we denote Cooperative-Rwgh-RS. Using numerical results, we demonstrate the impact of the proposed cooperative method and the node selection procedure on the localization accuracy.

[1]  R.L. Moses,et al.  Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.

[2]  Martin Vossiek,et al.  Wireless local positioning , 2003 .

[3]  Saipradeep Venkatraman,et al.  A novel ToA location algorithm using LoS range estimation for NLoS environments , 2004, IEEE Transactions on Vehicular Technology.

[4]  Andrea Conti,et al.  A sub-optimal hierarchical maximum likelihood algorithm for collaborative localization in ad-hoc network , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[5]  Moe Z. Win,et al.  The Effect of Cooperation on UWB-Based Positioning Systems Using Experimental Data , 2008, EURASIP J. Adv. Signal Process..

[6]  Pi-Chun Chen,et al.  A non-line-of-sight error mitigation algorithm in location estimation , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).

[7]  James Caffery,et al.  Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[8]  Mounir Ghogho,et al.  A Joint TOA/AOA Constrained Minimization Method for Locating Wireless devices in Non-Line-of-Sight Environment , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[9]  Jiping Li,et al.  Improved Localization Algorithms Based on Reference Selection of Linear Least Squares in LOS and NLOS Environments , 2013, Wirel. Pers. Commun..