摘要
针对隐身目标的低可探测性和雷达采样间隔的随机性,提出一种基于概率网格Hough变换和速度特征模糊聚类的近空间双基雷达网航迹起始算法.首先,利用概率网格Hough变换方法提取目标初步航迹;然后,结合目标的时间特性,利用点迹速度模糊聚类的方法进一步提取目标真实航迹.实验结果表明,所提出算法具有较强的鲁棒性和较高的精度,适用于杂波环境下随机采样的多雷达系统航迹起始.
Stealth target is hard to detect and the radar sampling interval of stealth target is stochastic. Therefore, a track initiation algorithm for near space bistatic radar network based on probabilistic grid Hough transform and velocity fuzzy clustering is proposed. Firstly, the primary tracks are obtained by using the probabilistic grid Hough transform method. Then, velocity fuzzy clustering algorithm is used to obtain the real tracks. Simulation results show that the proposed algorithm is robust, precise and suitable for the track initiation of the randomly sampling multi-radar system.
出处
《控制与决策》
EI
CSCD
北大核心
2013年第4期552-556,共5页
Control and Decision
基金
国家自然科学基金项目(60772162)
关键词
双基雷达网
HOUGH变换
模糊聚类
航迹起始
bistatic radar network
Hough transform： fuzzy clustering
track initiation
