王宇谱, 吕志平, 崔 阳, 吕 浩, 李林阳. 利用遗传小波神经网络预报导航卫星钟差[J]. 武汉大学学报 ( 信息科学版), 2014, 39(7): 809-814.
引用本文: 王宇谱, 吕志平, 崔 阳, 吕 浩, 李林阳. 利用遗传小波神经网络预报导航卫星钟差[J]. 武汉大学学报 ( 信息科学版), 2014, 39(7): 809-814.
wang yupu, lv zhiping,  cui yang,  lv hao,  li linyang. predicting navigation  satellite clock bias using agenetic wavelet neural network[J]. Geomatics and Information Science of Wuhan University, 2014, 39(7): 809-814.
Citation: wang yupu, lv zhiping,  cui yang,  lv hao,  li linyang. predicting navigation  satellite clock bias using agenetic wavelet neural network[J]. Geomatics and Information Science of Wuhan University, 2014, 39(7): 809-814.

利用遗传小波神经网络预报导航卫星钟差

predicting navigation  satellite clock bias using agenetic wavelet neural network

  • 摘要: 针对卫星钟差难以用精确模型来进行预报问题首先通过遗传算法优化适合非线性时间序列预报的小波神经网络的网络参数得到预报性能更好的遗传小波神经网络gwnn 然后根据钟差数据的特点对钟差进行预处理建立了一种能够高精度近实时预报钟差的gwnn钟差预报算法 使用gps卫星钟差进行一天内的预报实验证明了本方法的有效性 结果表明通过本方法得到的预报钟差较igs超快预报钟差在精度上有了较大的改善

     

    Abstract: aiming to  solve  satellite  clock  bias scbthat  is  difficult  to  formulate  for  predictionthispaper  emplo ys a genetic al gorithm to optimize  the network parameters  of  a wavelet neural  networksuitable  for  prediction nonlinear  time  series.firstagenetic wavelet neural  network gwnnwithbetter prediction performance was obtained.secondl ythe scb values were pre processed based ontheir  characteristics  and a gwnn model was established  to  accuratel y predict  scb in near  real  time.finall ythe paper  carries  out scb prediction  tests within one day using the scb data  from gps satellites  to validiate  the proposed model.the results  show that  the proposed prediction model outper-forms  igs ultra-ra pid  predicted scb products

     

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