一种基于卡尔曼滤波的智能手机GPS跟踪器节能方案

Sun-ting Lin, Shou-Sheu Lin, Kun-You Sun
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引用次数: 0

摘要

提出了一种增加GPS跟踪信号更新间隔的智能手机节能方案。为了补偿更新时间间隔较长对GPS精度的影响,在服务器端采用卡尔曼滤波和信号处理技术,在不消耗手机电量的情况下提高精度。在误差可接受的情况下,通过选择合适的参数,可以延长电池的使用寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Power Saving Scheme for Smart Phone GPS Tracker Using Kalman Filtering
A power consumption saving scheme of a smart phone by increasing the update interval of the GPS tracking signal is proposed. To compensate its degradation of GPS accuracy due to the longer update time interval, a Kalman filter is applied with signal processing technology at the server side to improve the accuracy at the same time without consuming the power of the mobile phone. The battery life duration can be extended by choosing proper parameter for continuously GPS tracking process with acceptable error.
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