Fuzzy Inference with Parameter Identification for Indoor WLAN Positioning

Provided by: International Association of Engineers
Topic: Networking
Format: PDF
In this paper, the authors consider the fuzzy inference as position estimator for WLAN (Wireless Local Area Network) indoor environments, based on received signal strength measurements. The proposal algorithm includes a fuzzy inference which uses the k-nearest neighbor classification in signal space, where the position of target node is calculated as a weighted combination of nearest fingerprints, where the weights are estimated using enhanced fuzzy controller with multivariable inputs and parameter identification with constrained optimization. The new developed technique is proposed to enhance the accuracy of position estimation in WLAN indoor environments;

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