A Novel Approach to Mobile Positioning Tracking

Wensheng Tang, Wangqiu Kuang, Dingxing Zhang
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Abstract

This paper presents a new approach to mobile position tracking in wireless sensor networks (WSN). The noise is modeled as the adversary of estimator that has the goal of maximizing the estimation error, and the estimator gain and adversary gain is derived to yields a saddle point so that the mobile position is estimated. The simulation results show that the new approach results in the more accurate estimation for the mobile position and velocity.
一种新的移动定位跟踪方法
提出了一种无线传感器网络中移动位置跟踪的新方法。将噪声建模为估计器的对手,目标是使估计误差最大化,并推导估计器增益和对手增益以产生一个鞍点,以便估计移动位置。仿真结果表明,该方法能更准确地估计出目标的移动位置和速度。
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