Estimating Propagation Parameters using a Modified EM Algorithm for Mobile Location Estimation
نویسندگان
چکیده
Recently, mobile location estimation is drawing considerable attention in the field of wireless communications. Among different mobile location estimation methods, the one which estimates the location of mobile stations with reference to the wave propagation model is drawing much attention on the grounds that it is applicable to different kinds of cellular network. However, the signal propagation models require estimation of propagation parameters. We have revised the existing EM algorithm which is designed for signal propagation models. We have classified the EM algorithm into two cases — Sufficient Data Collection and Insufficient Data Collection. We experimented our modified EM algorithm with 192,177 sets of real life data collected from a major mobile phone operator of Hong Kong. Results show that the modified EM algorithm improves the existing parameters estimation algorithm in terms of estimation accuracy, stability in different types of landscapes.
منابع مشابه
Time Estimation of Superimposed Coherent Multipath Signals Using the EM Algorithm for Global Positioning System
A novel multipath mitigation technique for Global Positioning System (GPS) receivers using the Expectation-Maximization (EM) algorithm is proposed. It is well-known that conventional propagation delay estimation using parallel sliding correlators is only optimal in additive white Gaussian noise channel. In practical positioning systems, the weak GPS line-of-sight signal is generally embedded in...
متن کاملEstimating the Parameters in Photovoltaic Modules: A Constrained Optimization Approach
This paper presents a novel identification technique for estimation of unknown parameters in photovoltaic (PV) systems. A single diode model is considered for the PV system, which consists of five unknown parameters. Using information of standard test condition (STC), three unknown parameters are written as functions of the other two parameters in a reduced model. An objective function and ...
متن کاملMobile Location Estimation using a 3-Dimension Ellipse Propagation Model
This is a study of mobile location estimation in three dimension space. We build up a 3-D signal propagation model, namely the three dimension Ellipse Propagation Model (3DEPM), which is an extension of the Ellipse Propagation Model(EPM) from our previous study [1]. Then we use a three dimension Geometric Algorithm (3-D Geometric Algorithm) to calculate the location of the Mobile Station(MS). T...
متن کاملMobile Terminal Tracking in Urban Scenarios Using Multipath Propagation
Locating mobile terminals is an important requirement not only for offering location based services but also for handling emergency cases of nonsubscribed users, and radio surveillance. We propose a blind localization approach which takes advantage of multipath propagation by using additional information about the known locations of the main scattering objects, e.g. buildings. This information ...
متن کاملParameter estimation of superimposed signals using the EM algorithm
We develop a computationally efficient algorithm for parameter estimation of superimposed signals based on the EM algorithm. The idea is to decompose the observed data into their signal components and then to estimate the parameters of each signal component separately. The algorithm iterates back and forth, using the current parameter estimates to decompose the observed data better and thus inc...
متن کامل