CAJ | 학술논문

为解决联合概率数据关联(JPDA)实时性差的问题,提出了基于模糊的联合概率数据关联简化算法.首先结合模糊理论、概率数据关联(PDA)算法,构建模糊矩阵,并根据隶属度大小建立新的确认矩阵,然后采用JPDA算法计算关联概率.仿真结果表明算法简单有效,与JPDA算法相比,在跟踪性能相当的前提下,算法的实时性能得到了较大提升.
위해결연합개솔수거관련(JPDA)실시성차적문제,제출료기우모호적연합개솔수거관련간화산법.수선결합모호이론、개솔수거관련(PDA)산법,구건모호구진,병근거대속도대소건립신적학인구진,연후채용JPDA산법계산관련개솔.방진결과표명산법간단유효,여JPDA산법상비,재근종성능상당적전제하,산법적실시성능득도료교대제승.
To reduce expense of time for Joint Probabilistic Data Association Algorithm(JPDA),an simplified Joint Probabilistic Data Association Algorithm based on Fuzzy is introduced for data association. Combine fuzzy theories and Probabilistic Data Association Algorithm (JPDA),set up fuzzy matrix,and according to the size of membership degree to build up the new validation matrix,then calculation association probabilistic by JPDA. Simulation results indicate the validity of the algorithm.In comparison with JPDA,the real-time performance is improved.