红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
11期
3775-3782
,共8页
孔云波%王华兵%冯新喜%鹿传国
孔雲波%王華兵%馮新喜%鹿傳國
공운파%왕화병%풍신희%록전국
数据关联%信息散度%无迹变换%雷达/红外
數據關聯%信息散度%無跡變換%雷達/紅外
수거관련%신식산도%무적변환%뢰체/홍외
data association%information divergence%unscented transform%radar/IR
针对基于多维分配模型的雷达与红外数据关联算法在构造关联代价函数时未考虑最大似然估计引入的误差的一问题,提出了一种基于信息散度的雷达与红外数据关联算法。该算法首先利用无迹变换获得伪量测的统计信息。然后在构造关联代价函数时,将真实量测数据的极大后验分布和伪量测的概率密度函数的之间的Kullback﹣Leibler散度(KLD)作为关联代价,继而代入多维分配模型求解关联。最后进行了仿真分析,结果表明该算法具有良好的关联性能,其关联代价可更精准地反映数据关联的可能性程度。
針對基于多維分配模型的雷達與紅外數據關聯算法在構造關聯代價函數時未攷慮最大似然估計引入的誤差的一問題,提齣瞭一種基于信息散度的雷達與紅外數據關聯算法。該算法首先利用無跡變換穫得偽量測的統計信息。然後在構造關聯代價函數時,將真實量測數據的極大後驗分佈和偽量測的概率密度函數的之間的Kullback﹣Leibler散度(KLD)作為關聯代價,繼而代入多維分配模型求解關聯。最後進行瞭倣真分析,結果錶明該算法具有良好的關聯性能,其關聯代價可更精準地反映數據關聯的可能性程度。
침대기우다유분배모형적뢰체여홍외수거관련산법재구조관련대개함수시미고필최대사연고계인입적오차적일문제,제출료일충기우신식산도적뢰체여홍외수거관련산법。해산법수선이용무적변환획득위량측적통계신식。연후재구조관련대개함수시,장진실량측수거적겁대후험분포화위량측적개솔밀도함수적지간적Kullback﹣Leibler산도(KLD)작위관련대개,계이대입다유분배모형구해관련。최후진행료방진분석,결과표명해산법구유량호적관련성능,기관련대개가경정준지반영수거관련적가능성정도。
The cost function of the current multi﹣target data association algorithms based on the S- D assignment for heterogeneous sensors is computed by using maximum likelihood estimation of the target position without taking the estimation errors into account. To overcome the problem above, a new data association algorithm was proposed based on the information divergence,which first used the unscented transform to get the statistic information of the pseudo measurements,then the differentia between the probability density function of pseudo measurements and the most posterior probability density function worked as the association cost. Finally simulation experiments were made to validate the proposed algorithm. The results show that the proposed algorithm can achieve better performance and its association cost reflects the association probability more accurately.