船舶通信定位信号短时中断插值预测模型构建
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摘要
为了提高船舶通信定位信号的短时中断插值预测精度,提出一种非线性的船舶通信定位信号短时中断插值预测模型。首先对当前船舶通信定位信号的短时中断插值预测方法缺陷进行描述,指出船舶通信定位信号短时中断具有随机性,然后采集船舶通信定位信号短时中断历史数据,将其看作是一种时间序列数据,并通过粒子群算法优化支持向量机对其进行建模,建立船舶通信定位信号短时中断插值预测模型,最后的船舶通信定位信号短时中断插值预测结果表明,本文模型的船舶通信定位信号短时中断插值预测精度高,预测误差小于线性的船舶通信定位信号短时中断插值预测模型,可以更好地适应船舶通信定位信号短时中断变化,具有一定的理论和实际应用价值。
In order to improve the short-time interruption prediction accuracy of ship communication positioning signal,a new model for nonlinear interpolation prediction model for short-term interruption of ship communication positioning signals is proposed. Firstly, the shortcomings of the short-time interruption interpolation prediction method for ship communication positioning signals are described. It is pointed out that the short-time interruption of ship communication positioning signals is stochastic. Then the historical data of short-time interruption of ship communication positioning signals are collected,which is regarded as a time series data. Then, the support vector machine is modeled by particle swarm optimization, and the ship communication positioning is established. The interpolation prediction model of short-time interruption of signal and the final interpolation prediction result of short-time interruption of ship communication positioning signal show that the interpolation prediction accuracy of short-time interruption of ship communication positioning signal in this model is high, and the prediction error is less than the linear interpolation prediction model of short-time interruption of ship communication positioning signal, which can better adapt to the short-time interruption change of ship communication positioning signal, and has a certain degree The theoretical and practical application value.
In order to improve the short-time interruption prediction accuracy of ship communication positioning signal,a new model for nonlinear interpolation prediction model for short-term interruption of ship communication positioning signals is proposed. Firstly, the shortcomings of the short-time interruption interpolation prediction method for ship communication positioning signals are described. It is pointed out that the short-time interruption of ship communication positioning signals is stochastic. Then the historical data of short-time interruption of ship communication positioning signals are collected,which is regarded as a time series data. Then, the support vector machine is modeled by particle swarm optimization, and the ship communication positioning is established. The interpolation prediction model of short-time interruption of signal and the final interpolation prediction result of short-time interruption of ship communication positioning signal show that the interpolation prediction accuracy of short-time interruption of ship communication positioning signal in this model is high, and the prediction error is less than the linear interpolation prediction model of short-time interruption of ship communication positioning signal, which can better adapt to the short-time interruption change of ship communication positioning signal, and has a certain degree The theoretical and practical application value.
引文
[1]刘旭.基于多传感器系统重构的船舶动力定位控制研究[J].舰船科学技术, 2018, 40(11A):196–198.
[2]柯宏发,何可,陈永光.运动目标的MGM(1, N)轨迹预测算法[J].武汉大学学报:信息科学版, 2012, 37(6):662–666.
[3]贾晓芬,郭永存,赵佰亭,等.融合有限差分及梯度的BayerCFA插值方法[J/OL].西安交通大学学报:1–10.
[4]阮群生,李豫颖,龚子强.船舶定位信号短时中断下的插值预测模型[J].计算机科学与探索, 2014, 8(12):1525–1536.
[2]柯宏发,何可,陈永光.运动目标的MGM(1, N)轨迹预测算法[J].武汉大学学报:信息科学版, 2012, 37(6):662–666.
[3]贾晓芬,郭永存,赵佰亭,等.融合有限差分及梯度的BayerCFA插值方法[J/OL].西安交通大学学报:1–10.
[4]阮群生,李豫颖,龚子强.船舶定位信号短时中断下的插值预测模型[J].计算机科学与探索, 2014, 8(12):1525–1536.