A Distributed Positioning System Based on a Predictive Fingerprinting Method Enabling Sub-Metric Precision in IEEE 802.11 Networks


During this paper, we have a tendency to gift a distributed positioning system for indoor atmosphere based mostly on a mesh of compact independent anchor nodes. Each node is made of low-cost off-the-shelf elements and operates as specialized access points capable of customary connectivity at a pair of.forty five GHz. The key technology for the localization strategy is that the switched beam antenna (SBA), which enables a area division multiple access (SDMA) paradigm. The coordinated operation of SBA-equipped anchor nodes constitutes a legacy unmodified IEEE 802.eleven network that can exploit the multiplexing mechanism. The latter is that the driving force of the estimation strategy, with the positional data obtained as the results of a maximum probability algorithm driven by the comparison of a true-time received signal strength indicator (RSSI) with the predicted signal level distribution, that can be estimated and stored while not the requirement of lengthy offline measurement. The signal level prediction relies on a straightforward propagation model that is effective because benefits of both the elementary antenna radiation beams directivity and the circular polarization operation, 2 strong aids for the mitigation of the multipath impairment. In flip, these feature build the estimation procedure tolerant to noisy power measurements, hence notably suitable for price-effective solutions based mostly on RSSI. Experimental validations demonstrate the performance of a network composed of 4 anchors arranged in an exceedingly 2.half-dozen$,times, $three.8 m$^2$ mesh in a very vi$,times, $seven m$^2$ workplace room, and dealing with a single target node. The mean error within the mesh space is sixty three cm while the mean error in the whole room is m. That specialize in the cumulative distributi- n of the error, the ninetieth percentile price is 1 m considering solely the mesh and 1.9 m for the complete area.

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