Microcomputers have been used in radar tracking.
微型计算机已应用于雷达跟踪。
Applying it into a radar tracking system shows its effectiveness.
将其应用于雷达跟踪系统验证了其有效性。
The evaluation of algorithm scheme in radar tracking may be achieved by multi-attributes fusion via DS theory.
在雷达跟踪中，算法方案的综合评价可通过DS证据理论进行多属性融合。
In this paper the error models of Angle, range and speed due to multipath effect in low Angle radar tracking are given.
给出了在雷达低仰角跟踪测量中由于多径效应影响而引起的雷达仰角、方位角、速度、距离误差的估算模型。
Experiment results show that the improved DS-based fusion could resolve the problem of evidence portfolios in radar tracking.
实验结果表明基于群体证据模糊距离的DS证据合成方法可以较好地解决雷达跟踪中算法方案综合评价问题。
In MMW radar tracking, the classical Kalman filter will degrade seriously when observation noise is non-Gaussian because of target glint.
在毫米波雷达目标跟踪中，角闪烁的非高斯特性将使得经典的卡尔曼滤波器失效。
The application fields include oil seismic exploration, communication, radar tracking, signal processing and state estimation, and so forth.
应用领域包括油田地震勘探、通讯、雷达跟踪、信号处理和状态估计等。
The main results for spectra analysing are outlined. The statistics is useful for designing radio link, adaptive power control and radar tracking.
其统计结果对卫星通讯链路设计、自适应功率控制、雷达跟踪等方面有参考意义。
Furthermore, the change of the noise through narrowband filter and detection circuit and the effect on the radar tracking precision are analyzed in quantity.
对噪声经过窄带滤波、检波电路后的变化及其对雷达跟踪精度的影响进行了定量分析。
In the paper, the proposed method effectively improves the output noise ratio of the weak signal detection, and increases the monopulse radar tracking range a lot.
本文提出的方法有效地提高了微弱信号检测输出的信噪比，大幅增加了单脉冲雷达的跟踪距离。
The results showed that: compared with the "vertical dispersing" under traditional radar tracking, the course of "vertical dispersing" in virtual tracking has higher speed and is easier to realize.
仿真结果表明，同传统的雷达跟踪状态下的垂直散开相比，基于虚拟跟踪状态下的垂直散开过程具有速度快、易实现等优点。
The results showed that: compared with the "vertical dispersing" under traditional radar tracking, the course of "vertical dispersing" in virtual tracking has higher speed and is easier to realize.
仿真结果表明，同传统的雷达跟踪状态下的垂直散开相比，基于虚拟跟踪状态下的垂直散开过程具有速度快、易实现等优点。
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