摘要
传统方位指向估计方法难以适应天线扫描速度变化的情形,为此建立波束方位指向估计的状态空间模型,并引入粒子滤波技术对状态变量进行估计。粒子滤波是非线性和非高斯情形下进行状态估计的强有力算法,采用粒子滤波的雷达波束方位指向估计算法具有良好的性能,能够适应天线扫描速度变化的情形。仿真实验验证了所提算法的适用性和有效性。
Traditional estimate method has limited capacity when the scan rate of radar antenna varies with time. Thus a state space model for estimating beam azimuth was established,and the particle filter was introduced to estimate the state variables. Particle filter is a powerful method for state estimation in non-linear and non-Gauss case,the radar beam＇s azimuth estimating algorithm based on particle filter has better performance,and it can adapt to the case where the scan rate of radar antenna varies with time. The simulation results show that the applicability and the efficiency of the proposed algorithm are desired.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2016年第1期74-77,共4页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(61201336)
关键词
雷达侦察
扫描分析
波束方位指向
粒子滤波
radar reconnaissance
scan analysis
radar beam＇s azimuth
particle filter
