基于导引头仿真模型的抗干扰目标识别算法研究  

Target Recognition Algorithms for Anti-Jamming Based on Seeker Simulation Model

作　　者：王民钢[1] 张军录[1] 崔伟成[1] 阎杰[1] 

机构地区：[1]西北工业大学飞行控制与仿真技术研究所,陕西西安710072

出　　处：《红外技术》2007年第9期501-504,共4页Infrared Technology

基　　金：航天支撑基金

摘　　要：在亚成像阶段,基于导引头仿真模型,从目标识别概率、实时性及其识别结果对控制系统影响角度,定量分析了三种典型抗红外诱饵干扰目标识别算法的优劣。讨论了导致三种算法识别结果不同的原因,针对概率神经网络算法(PNN)的缺陷提出了改进算法,经验证改进算法能有效地提高抗红外诱饵干扰的目标识别能力。In the inferior imaging state, three kinds of typical target recognition algorithm of anti-jamming of IR flare decoy were detailed and estimated by quantitative analysis way based on seeker simulation model. Probability of recognizing target and capability of real time of the three kinds typical arithmetics was analyzed, and the effect to the control system was referred. The recognition result of three kinds arithmetics is different, and the cause is analyzed. Improved arithmetic was pointed out, and the experiment results show that the reformed arithmetic is effective to improve target recognition probability.

关 键 词：目标识别 红外成像 空空导弹 红外诱饵 抗干扰算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]