基于粒子群的视距估算方法  

Visual Range Prediction Based on PSO

作　　者：陈霞 李俊山[1] 李建华 

机构地区：[1]第二炮兵工程大学402室,陕西西安710025

出　　处：《微电子学与计算机》2013年第11期68-71,75,共5页Microelectronics & Computer

摘　　要：提出了一种视距估算的粒子群方法.通过对现有的目标视距估算方法进行详细分析,在确保精度的基础上,给出了其中一些较复杂参数的求取方法,并通过确定目标与所处背景的实际温差ΔT_a,以及目标本身的空间频率f这两个较难求取的参数范围,引入粒子群概念,最终确定目标在相应的分辨概率情况下的最远被探测距离.仿真实验表明,该方法能够缩小目标最远探测距离范围,提高计算精度,同时该方法也可以用于任何目标的最远距离探测.A algorithm of visual range prediction based on PSO is proposed in this paper . Firstly , the existing method of visual range prediction is analyzed in detail , and the getting method of some complex parameter is obtained based on assuring precision .Then ,the PSO is imported by confirmming the temperature difference of target and background ,and the spacial frequency of target , which is hard to calculated . Finally , the farmost detecting distance of target is obtained in corresponding identification probability .Experimental results show that the method can reduce the detecting distance range of target ,improve the algorithm precision .Meanwhile ,the method also can used to any target .

关 键 词：视距估算 粒子群 温差 空间频率 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]