摘要
本文首先分析了传统脉冲测量雷达在各种内部、外部扰动作用下对高动态目标进行跟踪时面临的问题,在此基础上,将射频误差信号与天线指向信号作为量测信息引入观测方程,并且利用数值微分法对被跟踪的高动态机动目标建立了一种简单的估计模型,采用常规卡尔曼滤波算法估计出准确的目标角位置、角速度和角加速度的当前值和一步预报值。这种方法实现简单,作为机动目标的实时前处理算法,能够有效补偿各种内部、外部扰动对脉冲雷达角跟踪精度的影响,改善角度捕获的动、静态品质。
The problem of tracing the high-dynamic object by conventional pulse instrumentation radars disturbed by various internal/external factors is researched in this paper. To resolve such problem, RF error signal is introduced with the direction signal of antenna to the observe equation, and a simple model to describe the movement of high-dynamics object is established by the numerical differentiation technology. Then, using kalman filtering, the present/one-step prediction values of angular position/angular velocity/angular acceleration of the traced object are estimated by this estimation model precisely. The method proposed in this paper is easily realized real-timely for its simple structure, so it can be used as pre-processing algorithm in maneuvering target tracking to compensate various internal/external disturbances and to improve the static/dynamic characters of capturing various angular parameters for pulse instrumentation radars.
出处
《信号处理》
CSCD
2003年第1期1-5,共5页
Journal of Signal Processing
基金
国家自然科学基金资助项目(60175015)
关键词
脉冲雷达
角跟踪精度
射频误差信号
鲁棒估计模型
RF error signal
pulse instrumentation radars
maneuvering target tracking
robust estimate model