Title :
Optimal Nonlinear Estimation for Localization of Wireless Sensor Networks
Author :
Cheng, Yongqiang ; Wang, Xuezhi ; Caelli, Terry ; Li, Xiang ; Moran, Bill
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
This paper deals with the problem of sensor localization when the localization error is nonlinearly propagated over the sensor network as occurs in Radio Interferometric Positioning System (RIPS). A noise model that takes the location uncertainties of anchor nodes into account in the node localization process has been derived based on a generic nonlinear measurement model that encapsulates the use of many popular node localization techniques. These include circular, parabolic and hyperbolic methods. This development enables the use of a distributed stochastic estimation method for node localization of wireless sensor networks with nonlinear measurements in the presence of anchor node uncertainties. The effectiveness of the derived equivalent noise model is demonstrated via a simulated progressive localization of a mote network using the RIPS measurements.
Keywords :
nonlinear estimation; radiofrequency interference; sensor placement; wireless sensor networks; anchor node location uncertainties; circular methods; distributed stochastic estimation method; hyperbolic methods; localization error; mote network; noise model; nonlinear measurement model; optimal nonlinear estimation; parabolic methods; radio interferometric positioning system; sensor localization; simulated progressive localization; wireless sensor networks; Estimation; Measurement uncertainty; Noise; Noise measurement; Radio interferometry; Stochastic processes; Error propagation; location uncertainties; mote localization; nonlinear estimation; sensor networks;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2011.2166547
