Abstract
In complex indoor environment, wireless positioning is mainly affected by non-line-of-sight (NLOS) and multipath problem. In our previous work, we use the ray-tracing model to establish a model of time-of-arrival (TOA) and direction-of-arrival (DOA) based on virtual station (VS) to solve this problem. The advantage of this model is converting NLOS problem into line-of-sight (LOS) problem with VS. It also develops a two-step weighted least squares (TSWLS) positioning estimator using the hybrid TOA and DOA values and have high accuracy. However, it did not take into account the loss of the signal during the propagation process. Based on previous models, developing a Gauss-Markov theorem positioning estimator using the hybrid DOA and Received Signal Strength (RSS) values, taking into account the loss of signal in the propagation process because of transmission, reflection and diffraction, and achieved higher accuracy.
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References
Park, C.M.: Changes in the trend of the service location and paradigms. Internet Secur. Focus 5 (2013)
Matos, R., Santos, D.F., Sanguine, J.E., Rodrigues, A.: A GPS-based mobile coordinated positioning system for firefighting scenarios. In: Mobile Computing and Wireless Communication International Conference. IEEE (2007)
Liu, D., Liu, K., Ma, Y.: Joint TOA and DOA localization in indoor environment using virtual stations. IEEE Commun. Lett. 18(8), 1423–1426 (2014)
Seow, C.K., Tan, S.Y.: Non line of sight localization in multipath environment. IEEE Trans. Mobile Comput. 7(5), 647–660 (2008)
AlHajri, M.I., Goian, A., Darweesh, M., AlMemari, R., et al.: Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment. In: 2015 International Conference on Information and Communication Technology Research (ICTRC), pp. 238–241. IEEE (2015)
Ni, W., Wang, Z.: An indoor location algorithm based on the measurement of the received signal strength. J. Fudan Univ. 1, 48–52 (2004)
Liu, J., An, X.B., Li, C.S.: Principle and Application of Wireless Network Communication, Beijing, China (2002)
Alves, F.A., et al.: Efficient ray-tracing method for indoor propagation prediction. In: 2005 SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics, pp. 435–438. IEEE (2005)
Mohammed, Y.E., Abdallah, A.S., Liu, Y.A.: Measurements of in-building penetration loss at 2.4Â GHz. J. Beijing Univ. Posts Telecommun. 2, 019 (2004)
Pathak, P.H., Carluccio, G., Albani, M.: The uniform geometrical theory of diffraction and some of its applications. IEEE Antennas Propagat. Mag., 55(4), 41–69 (2013)
Tai, C.S., Tan, S.Y., Seow, C.K.: Robust non-line-of-sight localization system in indoor environment. Electron. Lett. 46(8), 593–595 (2010)
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This work is supported by the National Natural Science Foundation of China under Grant 61601494.
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Shi, Y., Hao, Y., Liu, D., Wang, B. (2019). Position Estimation Based on RSS and DOA Path Loss Model. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_313
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DOI: https://doi.org/10.1007/978-981-10-6571-2_313
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