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1)  low-altitude flying target
低空飞行目标
1.
According to the characteristic of the passive location system and the signal structure of GSM and CDMA system,the key parameter of passive location using GSM and CDMA system for low-altitude flying target was analyzed.
针对无源定位系统的特点和GSM,CDMA移动通信系统信号结构,详细分析了2种移动通信系统环境下实现对低空飞行目标无源定位的关键指标和主要技术参数,介绍了移动通信系统实现低空飞行目标无源定位存在的难点-作用距离、直达信号抑制、同步精度、几何精度因子等,对存在的难点给出了增加积累时间和目标运动模型辅助粒子滤波算法等解决建议。
2)  acoustic recognition of flying target
低空飞行目标识别
3)  flying target
飞行目标
1.
Measuring approach of flying target landing parameters based on binocular vision model;
双目视觉飞行目标落地参数测量
2.
Study on measuring approach of flying target landing parameters based on binocular vision model
基于双目视觉的飞行目标落地速度测量方法研究
3.
A new algorithm of the real-time target motion parameter estimation and tracking is proposed to overcome the limitation of the real-time motion parameter estimation of the flying target based on pseudo linear estimation(PLE).
针对伪线性参数估计的实时性问题,提出了一种基于角度测量的飞行目标运动参数实时估计、跟踪算法。
4)  Low altitude flight
低空飞行
5)  low altitude target
低空目标
1.
In order to detect the low altitude targets,the method for passive bearing estimation with acoustic vector sensors was presented.
外场实验证明:该定向算法具有较高的定向精度,能够用于低空目标的声测被动定向,有较好的应用前景。
2.
The performance of the proposed method is described,followed by experimental investigation with noise data radiated by low altitude target.
提出了一种基于声矢量传感器的低空目标定位方法,在小尺寸阵元和低频条件下,对空中目标的精确定位进行了仿真实验研究。
3.
This paper discusses the issue of low altitude target tracking based on interacting multiple model (IMM),analyzes the motion features of low altitude target,provides three motion models,including rectilinear motion at constant velocity,rectilinear motion at constant acceleration and curvilinear motion.
研究了基于交互多模型(IMM)的低空目标跟踪问题。
6)  low elevation targets
低空目标
1.
In the context of tracking low elevation targets with radar,the multipath propagation would cause acute errors in the elevation angle measurement of the targets.
雷达跟踪低空目标时,由于多路径传播的影响,目标俯仰角的测量会出现测量误差。
2.
In the context of tracking low elevation targets with radar, the multipath effects cause big errors in the measurement of the elevation angle, and the traditional tracking algorithm based on Kalman filter also leads to great tracking errors.
雷达跟踪低空目标 ,由于多径效应的影响 ,在俯仰角测量上会近似周期地出现方差很大的尖峰误差 ,这时应用卡尔曼滤波算法会导致较大的跟踪误差。
补充资料:低空
1.靠近地面处的天空。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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