基于最小分辨对比度准则，研究了天空背景下红外点目标的最大探测距离估计方法。
This paper investigates the approach to estimate the maximum detection range of an infrared point_target against sky background based on the minimum resolved contrast(MRC)criteria.
理论分析和应用实例表明，几何距离最小二乘方法同样也是一种比较有效的参数估计方法。
Theoretical analyses and applications all show that the geometric distance least square method is also a good and effective parameter estimation method.
采用平均最小自由欧氏距离估计误比特率，得到误比特率的封闭式表示，通过计算机模拟，在高信噪比情况下，这种估计方法与实际情况非常接近。
The bit error probability is estimated by the minimum average Euclidean distance. Through simulation, it is shown that the estimation is usually very accurate at high signal-to-noise ratio.
针对激光雷达一维距离像的目标识别，提出了利用最小二乘估计器和线性滑动更新器构造滤波器的算法。
A new arithmetic approach to the target identification of lidar range image was introduced by using the least squares estimation and linear glide updater for the design of a filter.
提出了一种利用基于距离参数的最小二乘滤波器群的纯方位跟踪目标参数估计器，该估计器是由若干个处地不同的距离区间上的加权最小二乘滤波器组成。
In this paper, a new bearings only tracking approach, which consists of a set of weighted least squares filters (LSF) each with a different initial range estimate, is proposed.
提出了一种利用基于距离参数的最小二乘滤波器群的纯方位跟踪目标参数估计器，该估计器是由若干个处地不同的距离区间上的加权最小二乘滤波器组成。
In this paper, a new bearings only tracking approach, which consists of a set of weighted least squares filters (LSF) each with a different initial range estimate, is proposed.
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