CAJ | 학술논문

红外诱饵干扰作为常见的影响红外跟踪能力的干扰手段发展的越来越先进,如何有效的排除红外诱饵的干扰一直是红外目标跟踪的难题.文中在研究了红外目标与诱饵干扰的特征差异的基础上,首次提出了将多目标跟踪策略应用于红外抗干扰跟踪中,建立了一种可以融合多个特征的改进型联合概率数据关联(JPDA)的数据关联算法.最后,利用该算法对抗干扰过程进行了仿真,仿真结果表明:与现有的抗干扰手段相比,该数据关联方法对解决红外干扰形成的假目标、目标遮挡等红外目标识别的难题,不仅实时性好,而且准确率高.
홍외유이간우작위상견적영향홍외근종능력적간우수단발전적월래월선진,여하유효적배제홍외유이적간우일직시홍외목표근종적난제.문중재연구료홍외목표여유이간우적특정차이적기출상,수차제출료장다목표근종책략응용우홍외항간우근종중,건립료일충가이융합다개특정적개진형연합개솔수거관련(JPDA)적수거관련산법.최후,이용해산법대항간우과정진행료방진,방진결과표명:여현유적항간우수단상비,해수거관련방법대해결홍외간우형성적가목표、목표차당등홍외목표식별적난제,불부실시성호,이차준학솔고.
It was a difficult problem in infrared target tracking field that how to effectively exclude the interference of infrared decoy, especially for that infrared decoy technique had developed more and more advanced as a common measure to interfer infrared tracking capability. Based on discussing characteristic difference of infrared targets and decoys, a multi-target tracking strategy to track excluding the infrared decoy was firstly proposed. And an improved joint probabilistic data association (JPDA) algorithm with fusion of multiple features was established. Finally, the process of tracking with excluding infrared decoy was simulated. Simulation results showed that the proposed algoritllIn can track target at real-time, which has higher accuracy for resolving the problem of the infrared target recognition that infrared decoys form false targets and the target block.