We introduce and develop a novel approach to outlier detection based on adaptation of random subspace learning. Our proposed method handles both high-dimension low-sample size and traditional low-dimensional high-samp...We introduce and develop a novel approach to outlier detection based on adaptation of random subspace learning. Our proposed method handles both high-dimension low-sample size and traditional low-dimensional high-sample size datasets. Essentially, we avoid the computational bottleneck of techniques like Minimum Covariance Determinant (MCD) by computing the needed determinants and associated measures in much lower dimensional subspaces. Both theoretical and computational development of our approach reveal that it is computationally more efficient than the regularized methods in high-dimensional low-sample size, and often competes favorably with existing methods as far as the percentage of correct outlier detection are concerned.展开更多
在高动态与强干扰条件下,卫星导航接收机码跟踪环路与载波跟踪环路会出现异常抖动进而影响卫星导航接收机的授时精度,针对这一问题提出了一种新的基于抗野值Kalman滤波技术的卫星导航接收机授时方法。该方法可以有效消除码环与载波环的...在高动态与强干扰条件下,卫星导航接收机码跟踪环路与载波跟踪环路会出现异常抖动进而影响卫星导航接收机的授时精度,针对这一问题提出了一种新的基于抗野值Kalman滤波技术的卫星导航接收机授时方法。该方法可以有效消除码环与载波环的异常抖动对解算出的卫星钟差的影响,并且对连续出现的野值也有很好的剔除效果。同时该授时方法还可以有效地对卫星导航接收机的晶振频率误差进行估计,进而对1PPS(pulse per second)信号发生器的频率控制字进行调整,提高系统的授时精度。经过实验验证,该授时方法可以有效提高卫星导航接收机的授时精度以及授时系统的鲁棒性。展开更多
文摘We introduce and develop a novel approach to outlier detection based on adaptation of random subspace learning. Our proposed method handles both high-dimension low-sample size and traditional low-dimensional high-sample size datasets. Essentially, we avoid the computational bottleneck of techniques like Minimum Covariance Determinant (MCD) by computing the needed determinants and associated measures in much lower dimensional subspaces. Both theoretical and computational development of our approach reveal that it is computationally more efficient than the regularized methods in high-dimensional low-sample size, and often competes favorably with existing methods as far as the percentage of correct outlier detection are concerned.
文摘在高动态与强干扰条件下,卫星导航接收机码跟踪环路与载波跟踪环路会出现异常抖动进而影响卫星导航接收机的授时精度,针对这一问题提出了一种新的基于抗野值Kalman滤波技术的卫星导航接收机授时方法。该方法可以有效消除码环与载波环的异常抖动对解算出的卫星钟差的影响,并且对连续出现的野值也有很好的剔除效果。同时该授时方法还可以有效地对卫星导航接收机的晶振频率误差进行估计,进而对1PPS(pulse per second)信号发生器的频率控制字进行调整,提高系统的授时精度。经过实验验证,该授时方法可以有效提高卫星导航接收机的授时精度以及授时系统的鲁棒性。
