دانلود رایگان مقاله تحلیل محدوده خطای انگشت نگاری موقعیت وای فای داخلی

Abstract

We observe that the laborious collection of location fingerprints, that could also potentially change with time and space, remains a hurdle towards the widespread deployment of indoor and outdoor positioning systems using the Wi-Fi. Motivated by this, we focus on the error bound analysis of indoor Wi-Fi fingerprint based positioning for intelligent Access Point (AP) placement optimization by using the Fisher Information Matrix (FIM) to characterize the relationship between the positioning errors and signal distributions. We first derive the closed-form error bounds with respect to different system parameters. Second, we use the Simulated Annealing (SA) algorithm to conduct the Wi-Fi AP placement optimization towards the lowest error bounds. Finally, we present the detailed discussion, extensive simulation, and experiment results.

7. Conclusion

We present some preliminary analysis on the error bounds of the indoor Wi-Fi location fingerprint based positioning which can be recognized as the first step towards the better understanding of the relationship between the positioning errors and signal distributions in indoor Wi-Fi environments. The purpose of this analysis is to design an effective and efficient indoor Wi-Fi location fingerprint based positioning system, either through the judicious selection of the number and geometric locations of APs under different signal distributions, or through the reduction in the labor for searching for the optimal AP locations with the lowest error bounds. Furthermore, compared to the conventional max ED based and symmetric AP placement optimization approaches, the proposed approach performs better in both the positioning errors and time overhead. For the future work, the error bound analysis of the indoor Wi-Fi hybrid RSS, AOA, and TDOA based positioning for intelligent AP optimization by using the Fisher information forms an interesting topic.