摘要
为评估航空器碳排放水平,估算节能减排效益,使用基于最小二乘法直线拟合方法识别雷达轨迹模式,并提出使用二次识别方式消除噪声对于飞行状态转变点识别影响,通过分析拟合后直线斜率判断航空器飞行状态。根据不同轨迹模式分别计算航空器燃油消耗,使用某机场雷达数据进行算例分析,结果表明,识别方法可以有效识别轨迹模式,并估算航空器燃油消耗。
In order to optimize fuel consumption algorithm and provide a reference for the energy saving measure,radar track pattern recognition based on least squares linear fitting is proposed. Secondary identification method is proposed to eliminate the noise affect of transition point identification. By analyzing the slope of the fitted line,aircraft flight patterns can be known. Aircraft fuel consumption can be calculated according to different track mode. Finally,the San Francisco airport radar data is used to perform numerical example. The results show that the recognition method can effectively identify the track mode and estimates aircraft fuel consumption. The method has high practical value.
出处
《航空计算技术》
2015年第6期60-63,共4页
Aeronautical Computing Technique
基金
国家自然科学基金与民航联合基金项目资助(U1333108)
关键词
雷达数据
燃油消耗
轨迹模式识别
最小二乘法直线拟合
radar data
fuel consumption
trajectory pattern recognition
least squares linear fitting
