It is a classic problem to estimate motion-parameter of target based on bearing series in non-linear domain.
利用目标的方位序列跟踪目标的运动参数是非线性领域的一个经典问题。
Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.
结论基于MCECM算法的极大似然估计方法可用于估计非线性因子分析模型的参数。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
The azimuth information of target acquired by airborne Radar Warning Receiver (RWR) is used to estimate the distance, speed and other motion information of the target through non-linear filtering.
针对载机尾后目标探测问题，提出利用机载雷达告警接收机提供的目标方位信息，运用非线性滤波算法对载机尾后目标的距离、速度等运动信息进行实时估计。
Non-Linear Least Squares were used to estimate the exponential time model.
非线性最小二乘法用于估算指数时间模型。
Non-Linear Least Squares were used to estimate the exponential time model.
非线性最小二乘法用于估算指数时间模型。
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