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一种预测频段占用度的时间序列分析方法 被引量:7

A Method for Forecasting Frequency Band Occupancy Based on Time Series Analysis
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摘要 提出了一种基于实际测试数据的频段占用度短期预测方法,该方法首次将经济学中常用的自回归移动平均模型(ARIMA)用于频段占用度的预测,并分析给出了判定模型参数和分析结果。短期预测结果与实际测试结果证明了这种预测方法可以为无线电频率主管部门提供更为精确地掌握频率资源的使用及发展变换情况,为制定政策和指配频率提供基础。 A frequency band occupancy short-term forecasting method is proposed based on time series analysis by using practical monitoring data.By the aid of professional computing software,ARIMA model,normally applied in the economic field,is firstly used in analyzing the frequency band occupancy data.A performance evaluation on historical data is presented to prove the accuracy of forecasting result.This method can also provide the administrative department in charge with an accurate understanding of the utilization of frequency resource and its development,on which they can establish the policy and assign the frequency.
出处 《无线电工程》 2011年第7期17-20,64,共5页 Radio Engineering
关键词 频段占用度 ARIMA模型 分析预测 时间序列 frequency band occupancy ARIMA model analysis and forecast time series
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