Application of newton Raphson and steepest descent method for precise positioning for mobile communications

  • Authors

    • Ch Yamini Surya Teja
    • B Vijay Gopal Reddy
    • S Sri Harsha
    • K Uday Kiran
    • Dr S.Koteswara Rao
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10587
  • Global System for Mobile Communication, TOA, Newton Raphson Method, Steepest Descent Method, Signal Processing Algorithms.
  • Abstract

    GSM is a wireless networksystem. GSM mostly uses TDMA and most uses three digital wirelessmobile network technologies to compresses data, sends by using a channel along with other samples of data, in different time slots. It makes use of 900 to 1800MHz band frequency for transmission. Very accurate and exact wireless algorithms are difficult in all environmental conditions. Wireless communications use various parametric measurements to determine the sensor position. TOA is the time taken by the signal from source to reach the receiver’s position. Newton Raphson method is an iterative numerical method uses partial derivatives of a functions or a system of equations in a suitable search direction. Newton Raphson consider two fundamental arguments: The first one is considering a good starting or initial point which is approximate to the solution and the secondary thing is to consider a distinguishable error which plays important role on approximation of the solution. In the present work, the Newton Raphson algorithm is implemented to obtain precise position of the receiver.

  • References

    1. [1] Enyang Xu, Student Member, IEEE, Zhi Ding, Fellow, IEEE, and Soura Dasgupta, Fellow, IEEE / Source Localization in Wireless Sensor Networks From Signal Time-of-Arrival Measurements/ VOL. 59, NO. 6, JUNE 2011.

      [2] Khaled Kamal Saab, Member, IEEE, and Samer Said Saab, Jr./ A Stochastic Newton-Raphson Method with Noisy Function Measurements / VOL. 23, NO. 3, MARCH 201.

      [3] Maja Rosić1, Mirjana Simić1, Predrag Pejović1, Milan Bjelica1/Optimal Source Localization Problem Based on TOA Measurements/Vol. 14, No. 1, February 2017.

      [4] Trung-Kien LE and Nobutaka ONO/Closed-form and Near closed-formSolutions for TOA-based Joint Source and SensorLocalization/VOL.XX, NO.Y, MONTH 2016.

      [5] Zohair Abu-Shaban, Student Member, IEEE, XiangyunZhou,Member, IEEE, and Thushara D. Abhayapala, Senior Member, IEEE./ A Novel TOA-based Mobile Localization Technique under Mixed LOS/NLOS conditions for cellular networks/ DOI 10.1109/TVT.2016.2517151.

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  • How to Cite

    Yamini Surya Teja, C., Vijay Gopal Reddy, B., Sri Harsha, S., Uday Kiran, K., & S.Koteswara Rao, D. (2018). Application of newton Raphson and steepest descent method for precise positioning for mobile communications. International Journal of Engineering & Technology, 7(2.7), 237-242. https://doi.org/10.14419/ijet.v7i2.7.10587

    Received date: 2018-03-25

    Accepted date: 2018-03-25

    Published date: 2018-03-18