计算机科学 ›› 2012, Vol. 39 ›› Issue (12): 220-223.

• 人工智能 • 上一篇    下一篇

一种农机车载GPS的准确定位算法的仿真研究

张智 周桂贤   

  1. (贵州大学明德学院计信系 贵阳 550001) (贵州财经大学信息学院 贵阳 550004)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Farm Machinery on-board GPS Location Accuracy Simulation and Research

  • Online:2018-11-16 Published:2018-11-16

摘要: 农机车载GPS定位易受抖动影响,农田垄线不平坦会导致车载GPS抖动而使其定位不准确,造成农机作业 的工作误差。传统的线性滤波车载〔}PS定位方法不能有效解决抖动造成的定位准确度不高的问题。为此,提出双假 设滤波算法的车载GPS定位方法。用活化函数控制卡尔曼滤波器的增益而初步削弱抖动的影响,引入自适应衰减因 子建立快速反应滤波器,并通过跟踪农机的机动变化来抖动影响,最终完成农机定位。仿真实验表明,这种方法能够 有效去除因垄线不直存在的抖动问题,准确地完成农机车载CPS的定位。

关键词: 线性滤波,活化函数,衰减因子

Abstract: Researched the agricultural production farm machinery on-board GPS positioning problem to improve the po- sitioning accuracy. Farm machinery on-board GPS positioning vulnerable is easy influenced by fitter. The car GPS will shake when farmland long lines is not flat, causing car GPS position is not accurate, resulting the work error of agricul- tural machinery operation. The traditional linear filter on-board GPS positioning method cannot effectively remove fitter influence, causing the problem of low location accuracy. In order to solve this problem, this paper put forward the on- board GPS filter double localization method. Using activation function controls kalman filter gain and preliminary wea- kens the effect of fitter. Introducing self-adapting attenuation factor establishes a rapid response filter, and combining with the farm machinery motor change track finishes removing fitter influence, completing farm machinery positioning at last Simulation results show that this method can effectively remove shaking influence caused by unstraight long line, accuratly finish the orientation of agricultural machinery car GPS.

Key words: Linear filter, Activation function, Attenuation facto

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