在时空级联最大似然算法的基础上，本文结合雷达低角跟踪的特点，提出一种新的目标仰角估计算法。
Based on the temporal-spatial sequential Maximum Likelihood (ML) algorithm, a new algorithm for estimating the elevation Angle of a target in radar low-angle tracking environment is presented.
针对目前雷达试验，给出一种快速计算目标距离、方位、仰角真值的计算方法。
A method to calculate quickly the real values of the range, azimuth and elevation of targets are given for current radar tests.
首先以无源声呐对目标的方位角、俯仰角和频率测量为依据，建立动态系统模型。
The model of motive system is made in the light of measurements of target bearings, elevation and frequency by passive sonar.
当雷达在低仰角跟踪时，降低多径误差的阵列天线波束的形成技术，可消除或降低低仰角跟踪目标时的测量误差。
During radar tracking target in low elevation, the measuring error of tracked target was removed or reduced with array antenna beam forming technique that can reduce the multi-path error.
在雷达俯仰角(目标高度)方向上多径误差的影响尤为严重，使得目标高度的测量误差表现为周期性的尖峰误差。
In the radar elevation coordinate, the multipath effects are more severe, which cause periodic peak error in the target height measurement.
提出了利用目标的方位、俯仰角信息以及红外探测器对目标辐射的响应信息，解算目标位置参数的单站定位方法。
With the information of the angles and radiations of the target measured by IRST systems, a single observer passive location method is put forward.
但由于对流层中的折射效应，定位系统所测目标的仰角、距离等参量均存在一定的折射误差。
However because of the refraction effect in the troposphere there is refractive error in the parameters measured in positioning system.
针对轴对称目标三维姿态参数中的偏航角、俯仰角的提取问题，提出了一种自动提取目标中轴线方法。
In order to measure the pitching Angle and yaw Angle of the axes symmetry object in three-dimension orientation, an automatic method of extracting the axes of the object has been presented.
在目标跟踪领域，通过三坐标雷达的测量值(斜距、仰角及方位角)来估算目标的真实高度一直是个难点。
In target tracking domain estimating the true altitude of a target from 3-d radar is always been a challenge.
在目标跟踪领域，通过三坐标雷达的测量值(斜距、仰角及方位角)来估算目标的真实高度一直是个难点。
In target tracking domain estimating the true altitude of a target from 3-d radar is always been a challenge.
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