摘要
针对突防目标不同角域内RCS(Radar Cross Section)差异较大的情况,提出5种不同的突防目标特征信号雷达重点探测区域建模方案.在计算机仿真平台上,根据目标的周向散射特性,按照这5种不同的模型取RCS均值计算雷达对目标的探测概率值.不同建模方案所得探测概率值与精确探测概率值的平均误差分别为:13.66%,12.35%,6.6%,5.07%和2.4%.平均误差的差异表明:采用5个或8个特征信号重点探测区域的建模方案,所得探测概率值的误差小,能反映出雷达对目标探测概率的动态变化过程.仿真平台中,这两种建模方案无需存储大量目标的RCS值,只需记录5个或8个目标的RCS均值,可节省计算机的存储量,提高计算速度.
There are great differences among the target＇s radar cross section（RCS） in its different detect angle territory. Five different models about the partition of important radar detect territories were presented. In the computer simulation platform, it adopted the five different models to part the important detect territories according to the characteristics of scattering around the target. Calculating the detect probabilities according to the average RCS from the different five models. The average tolerance of detect probabilities between the results of five models and exact detect probabilities are 13.66% , 12.35% , 6.6% , 5.07% and 2.4%. The differences between the tolerances indicate the detect probabilities from the last two models about the detect territory partition are more accurate. They can reflect the real changes of detect probabilities in the dynamic process of the radar detects the target. The last two models about the partition of important radar detect territories in the computer simulation platform can save the computer storage by using five or eight RCS to instead of lots of RCS. It can increase the computer speed.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2009年第1期40-43,共4页
Journal of Beijing University of Aeronautics and Astronautics
基金
武器装备预研基金重点资助项目(6140510)
关键词
雷达散射截面积(RCS)
散射特性
探测区域
探测概率
误差
radar cross section （RCS）
scattering characteristic
detect territory
detect probabilities
errors
