摘要
在分析数据建模的数据质量时,提出了一种基于AR(p)模型的数据处理方法。该方法能处理不同的误差干扰,进行有效的数据预测,防止数据丢失及数据错误。该方法在水下机器人作业的数据事例中,收到了良好的效果。
Based on the analysis of data quality in building data model, this paper presents a data processing method which is based on AR(p) model. This method can deal with different errors and make an effective data prediction to avoid the data losing and errors. It works well in the AUV data fusion.
出处
《计算机与数字工程》
2003年第5期1-4,共4页
Computer & Digital Engineering