该方法特别适合静止摄像机的背景估计，在背景配准后也适用于移动摄像机的背景估计。
The method is very suitable for a stationary camera and is also suitable for a moving camera after background alignment.
基于这样的背景，本文从目标定位、时间配准和非线性滤波算法三个方面对多站纯方位被动跟踪系统进行了研究和算法改进。
According to this, this paper focuses on the study of bearings-only passive tracking system in the aspects of the target location, time alignment and nonlinear filtering algorithm.
相邻帧配准差分去除恒星方法，在处理16位灰度图像时，由于高亮度恒星的插值误差大于目标灰度与背景之差，导致差分不能有效去除恒星干扰。
Registration and difference can't exclude stars when processing the 16-bit gray images because interpolation error of high light star is larger than the difference of target and background.
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