Anchor-cum-Relay Nodes for Localizing a Mobile Source and Relaying Source Signals

The problem of selecting anchor-cum-relay (ACR) nodes for the dual purpose of tracking a mobile source as well as serving as relays for the source signal is considered. The proposed approach uses particle filters (PFs) with node selection based on the received signal-to-noise ratio (SNR) along with a localization constraint derived through the Fisher information matrix (FIM). The detail steps of implementation are given. A posterior Cramer-Rao lower bound approach is also explored to exploit information from previous node selections. Numerical results demonstrate that the proposed FIM-SNR approach achieves more than 16 dB in average source localization mean-squared error (MSE) over nearest node (NN) selection, while performing very close to FIM-based optimal localization. At the same time, the proposed FIM-SNR provides a received SNR nearly identical to NN selection but outperforming FIM-based selection's SNR by more than 5.5 dB.

[1]  Kannan Ramchandran,et al.  Non-line-of-sight localization using low-rank + sparse matrix decomposition , 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

[2]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[3]  Farrokh Etezadi,et al.  Decentralized Relay Selection Schemes in Uniformly Distributed Wireless Sensor Networks , 2012, IEEE Transactions on Wireless Communications.

[4]  Vikram Krishnamurthy,et al.  Upper bounds for the sensor subset selection problem , 2009, 2009 12th International Conference on Information Fusion.

[5]  Cedric Nishan Canagarajah,et al.  Mobility Tracking in Cellular Networks Using Particle Filtering , 2007, IEEE Transactions on Wireless Communications.

[6]  Shunzheng Yu,et al.  A hidden semi-Markov model with missing data and multiple observation sequences for mobility tracking , 2003, Signal Process..

[7]  Xiaodong Wang,et al.  Joint mobility tracking and hard handoff in cellular networks via sequential Monte Carlo filtering , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[8]  Mostafa Kaveh,et al.  Exact symbol error probability of a Cooperative network in a Rayleigh-fading environment , 2004, IEEE Transactions on Wireless Communications.

[9]  Richard P. Martin,et al.  A Practical Approach to Landmark Deployment for Indoor Localization , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[10]  Lihua Xie,et al.  Sensor selection for received signal strength-based source localization in wireless sensor networks , 2011 .

[11]  Brian D. O. Anderson,et al.  Optimality analysis of sensor-target localization geometries , 2010, Autom..

[12]  Branko Ristic,et al.  Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .

[13]  Raviraj S. Adve,et al.  Improving amplify-and-forward relay networks: optimal power allocation versus selection , 2006, IEEE Transactions on Wireless Communications.

[14]  Javier Perez-Ramirez,et al.  A Joint Positioning and Communication Paradigm Using Relay Nodes as Anchors , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[15]  Raviraj S. Adve,et al.  Non-Coherent Code Acquisition in the Multiple Transmit/Multiple Receive Antenna Aided Single- and Multi-Carrier DS-CDMA Downlink , 2007 .

[16]  Stephen P. Boyd,et al.  Sensor Selection via Convex Optimization , 2009, IEEE Transactions on Signal Processing.