高斯型小波在APC识别中的应用  

Application of Gaussian Complex Wavelet in APC Identification

作　　者：田福礼[1] 俞志刚[2] 高正红[1] 

机构地区：[1]西北工业大学航空学院,陕西西安710072 [2]中国飞行试验研究院飞机所,陕西西安710089

出　　处：《飞行力学》2006年第2期69-72,共4页Flight Dynamics

基　　金：航空基础科学基金资助项目(04A30006)

摘　　要：研究了高斯型复小波时频分析方法用于人机耦合振荡(APC)探测的有效性和可行性。基于小波理论分析了高斯型复小波的时域和频域关系,构造了高斯型复小波滤波器。确定了一组识别APC的逻辑模型和参数,并对一起横向APC事件的记录数据进行了分析处理。结果表明,高斯型和双曲高斯型复小波变换都可较准确地探测出APC,但后者实时性更好。Validity and feasibility of Gaussian complex wavelet time-frequency analysis for identifying the aircraft pilot coupling （APC） are studied. The time-frequency relation of Gaussian complex wavelet is derived, and a Gaussian complex wavelet filter is structured. A set of logic models and parameters for identifying the APC is determined. An event of the lateral flight recorded APC is processed and analyzed using the wavelet filter. The results indicate that both Gaussian and hyperbola-Gaussian complex wavelets can identify APCs accurately, but the later is better in the conditions for real-time APC detecting

关 键 词：小波时频分析 双曲高斯型复小波 人机耦合振荡探测 

分 类 号：V212.1[航空宇航科学与技术—航空宇航推进理论与工程]