CAJ | 학술논문

针对地面防空武器系统传感器的管理问题，面向机动目标跟踪，提出了一种基于Rényi信息增量的多传感器管理方案。首先利用交互式多模型容积卡尔曼滤波解决高斯非线性环境下系统状态估计问题，计算各目标和各传感器配对时的Rényi信息增量；然后建立了基于Rényi信息增量的多传感器管理模型，以系统总效能最大为原则选择传感器进行目标跟踪。关联仿真结果表明，该方法与基于Shannon信息增量的多传感器管理方法相比能够提高跟踪精度，实现传感器资源的有效利用。
침대지면방공무기계통전감기적관리문제，면향궤동목표근종，제출료일충기우Rényi신식증량적다전감기관리방안。수선이용교호식다모형용적잡이만려파해결고사비선성배경하계통상태고계문제，계산각목표화각전감기배대시적Rényi신식증량；연후건립료기우Rényi신식증량적다전감기관리모형，이계통총효능최대위원칙선택전감기진행목표근종。관련방진결과표명，해방법여기우Shannon신식증량적다전감기관리방법상비능구제고근종정도，실현전감기자원적유효이용。
We propose a method for multi-sensor management,based on Rényi information gain,for tracking a ma-neuvering target.An interacting multiple model-cubature Kalman filter (IMM-CKF)algorithm is applied to obtain the maneuvering target′s location estimation and the Rényi information gain of each sensor for the Gaussian non-linear system.A multi-sensor management model is established to select sensors according to their maximal system effectiveness,based on the estimated location of the maneuvering target.The simulation results show that,when compare with the Shannon entropy-based method,our proposed method achieves grea-ter tracking accuracy and makes more effective use of sensor resources.