gauss-markov process meaning in Chinese
高斯-马尔可夫过程
Examples
- For the circling moon phase mission , this paper proposes an autonomous optical navigation algorithm using the gauss - markov process and unscented kalman filter
针对绕月轨道段任务,提出了基于高斯-马尔科夫过程和unscented卡尔曼滤波的自主轨道确定方法。 - For the problems arising from the absence of exact dynamics models , the gauss - markov process is used to approximate the un - model acceleration term in the circling orbit dynamics
利用高斯-马尔科夫过程近似绕月探测器的无模型加速度,并利用基于unscented卡尔曼滤波估计了探测器的位置、速度及无模型加速度。 - In the study of environment model - based processing , the thesis presents a signal enhancement method based on combination of the ocean acoustic propagation , measurement system and noise models . furthermore , a signal enhancement algorithm is developed on the basis of the model - based identifer ( mbid ) implemented by the the augmented gauss - markov process and corrsponding extended kalman filter
本文通过了对模基信号处理实现信号增强的理论研究，提出了一种利用传播模型、噪声模型和阵测量模型、并注重环境信息来实现水声信号增强的方法，继而实现了基于增广高斯?马尔可夫过程和相应的扩展卡尔曼滤波联合的模基辨识器的信号增强算法。 - The results show that the ionosphere - weighted model or the tropospheric estimation , integrated with the partly - weigthed least squares , can improve , the success rate and the reliability of ambiguity resolution ; however , if the ionospheric delay or the tropospheric delay , which is modeled on random walk process or first - order gauss - markov process , is estimated with the kalman filter , it will reduce the success rate and the reliability of ambiguity resolution
将电离层延迟作为零均值的随机游走过程(电离层加权模型) ，将对流层延迟作为静态参数，采用非递推形式的加权最小二乘法来估计，可以提高模糊度解算的成功率和可靠性。