摘要
对目标机动的识别关系到目标轨迹外推的准确性,由于噪声的影响,机动引起的机械能的变化淹没在噪声中.小波分析可以在一定程度上将淹没在噪声中的机械能变化揭示出来,提高轨道机动的识别能力.利用二进小波在不同尺度下分析机械能随时间的变化,尺度由小至大时,信号含量增加,噪声受到抑制.观察小波系数曲线随小波分析尺度的变化趋势就可以快速判定是否存在轨道机动.文中运用小波分析对目标的各种机动建立了识别方法,并利用较新的小波分解预测方法,对含目标机动的重构信号建立了轨迹外推方案.
The identification of ARPA＇s Target maneuver relates to the forecasting accuracy of target＇s trace. Usually the change of energy due to orbit maneuver is submerged in the noise. Wavelet analysis in differential scale can be used to extract the time and frequency information of the energy. With the scale zoom out,real signal is enhanced,and noise is suppressed. The existence of an orbit maneuver is judged by observing the trend of the wavelet transform result. In this paper, making use of the wavelet analysis, an identification method for various target maneuver is established. Using reconstruction signal which contain information of target maneuver, trace＇s forecasting can be done.
出处
《武汉理工大学学报（交通科学与工程版）》
2006年第5期856-858,共3页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
