CAJ | 학술논문

针对杂波环境下的多目标数据互联问题，提出了基于距离、航速和航向信息的多目标数据互联算法。该算法首先以不同目标状态更新向量中的位置元素为中心，基于距离门限对测量数据进行选择，然后在此基础上利用目标航速和航向信息对选择的测量数据做进一步判断，具体方法是由当前时刻目标测量数据和前一时刻目标的状态来估计相应目标的航速和航向，并通过设定的航速和航向门限对保留的测量数据进行选择，实现复杂环境下的多目标数据的有效关联；然后计算有效回波是正确量测的概率，并以这些概率值作为权值对目标状态进行加权融合，实现杂波环境下多目标的可靠跟踪；最后通过仿真实验对算法的有效性和可行性进行了验证。
침대잡파배경하적다목표수거호련문제，제출료기우거리、항속화항향신식적다목표수거호련산법。해산법수선이불동목표상태경신향량중적위치원소위중심，기우거리문한대측량수거진행선택，연후재차기출상이용목표항속화항향신식대선택적측량수거주진일보판단，구체방법시유당전시각목표측량수거화전일시각목표적상태래고계상응목표적항속화항향，병통과설정적항속화항향문한대보류적측량수거진행선택，실현복잡배경하적다목표수거적유효관련；연후계산유효회파시정학량측적개솔，병이저사개솔치작위권치대목표상태진행가권융합，실현잡파배경하다목표적가고근종；최후통과방진실험대산법적유효성화가행성진행료험증。
A multiple target tracking algorithm in clutter is studied,and a new method is adopted to solve the data association problem based on distance,speed and course.Firstly,the position element of the state up-date estimates is used as the center to conduct the distance statistical test,which is used to select the measure-ments of the targets.Then the selected data are needed to make further judgement through speed and course. The steps are as follow:The current measurements and the state update estimate a moment ago are used to esti-mate the speed and course of the target,which are compared with the speed and course threshold respectively. And those measurements which fall in to the two thresholds are preserved.The probabilities of the retained data are calculated,and which are used as weights to obtain the weighted fusion state.The simulation results reveal the feasibility and validity of the proposed algorithm.