摘要
在雷达系统中,对雷达散射截面积(Radar Cross-Section,RCS)较小的快速机动目标的检测与跟踪是难点。本文提出采用基于递推贝叶斯原理的检测跟踪(Track-and-Detect,T&D)一体化方法提高雷达对这类目标的检测和跟踪性能。针对机动目标,用模型参数更新法来改进递推贝叶斯方法,即利用先验信息或实时估计的目标速度信息实时更新运动模型参数。对雷达实测数据的处理结果表明,该方法在机动目标的平均信噪比约为6dB时,即可实现在虚警率为10-3时检测概率达到0.9的指标。
In radar systems,detecting and tracking of targets with small RCS and maneuvering targets is a difficult point.In this paper an integrated method named TD is put forward to improve detecting and tracking performance for these targets,which is based on recursive Bayesian theory.Furthermore,a new approach for improving the recursive Bayesian method is described to handle these targets.This approach utilizes a priori information or on-line estimation of target velocity to update the moving model＇s parameters.Simulation result and comparison with other approaches are presented.On condition that the mean signal to noise ratio of maneuvering target is 6dB,this approach makes the result that the false-alarm probability is 10-3 while the detection probability is 0.9.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2011年第10期2181-2186,共6页
Journal of Astronautics
基金
国家部委基金资助项目(20094010040)
关键词
雷达信号检测处理
小目标
机动目标
检测跟踪一体化
递推贝叶斯方法
转移概率矩阵
Radar signal measuring and processing
Small target
Maneuvering target
Track-and-Detect（T＆D）
Recursive Bayesian method
Transition probability matrix
