CAJ | 학술논문

针对传统多红外传感器多目标多维分配数据关联模型在构造关联代价时未充分考虑位置估计不确定性所引入的随机误差问题，提出了一种可精确到二阶的高精度关联代价构造方法。取非线性量测函数泰勒展开式的前二阶项，将最小二乘估计的均值和方差信息代入得到伪量测信息的均值和方差，继而将伪量测与真实量测信息的统计距离作为最终的关联代价。最后对不同关联算法的正确率进行了实验对比，仿真结果表明修正后的关联代价能够更精准地反映出数据关联的可能性，基于该修正代价的关联算法较之其他关联算法可获得更好的关联性能。
침대전통다홍외전감기다목표다유분배수거관련모형재구조관련대개시미충분고필위치고계불학정성소인입적수궤오차문제，제출료일충가정학도이계적고정도관련대개구조방법。취비선성량측함수태륵전개식적전이계항，장최소이승고계적균치화방차신식대입득도위량측신식적균치화방차，계이장위량측여진실량측신식적통계거리작위최종적관련대개。최후대불동관련산법적정학솔진행료실험대비，방진결과표명수정후적관련대개능구경정준지반영출수거관련적가능성，기우해수정대개적관련산법교지기타관련산법가획득경호적관련성능。
When established association cost, traditional multi- dimension assignment data association algorithm for multi- infrared- sensor ignored the random errors introduced by least square estimation. To overcome the problem, a modified cost function that can get second- order accuracy was proposed. The first two items of Taylor series for nonlinear measurement function was kept down. The pseudo measurements can be got by using the mean and covariance of position estimation according to the preserved series. Then the statistical distances between real measurements and pseudo ones worked as the association costs. Finally, the correct data association ratio of the several association algorithms were compared through simulation experiments. Simulation results show that the modified cost function can reflect the association probability more accurately and the algorithm based on it can achieve better performance than the others.