CAJ | 학술논문

由于雷达具有较好的测距性能,红外传感器具有高精度的测角性能.由于上述技术特点,使得两者具有良好的信息互补性,雷达和红外数据融合引起了广泛的注意.异类传感器数据处理是数据融合中的一个难点.考虑到两种传感器具有不同的测量维数,量测数据异步采样并以不同的速率传输到融合中心站点,提出了一种新的异类传感器异步数据融合算法.通过最小二乘法完成两种异步数据关联同步,然后对于相似性测度进行数据关联,与数据压缩技术完成目标状态信息融合.利用上述方法,进行了仿真实验验证了算法的有效性.
유우뢰체구유교호적측거성능,홍외전감기구유고정도적측각성능.유우상술기술특점,사득량자구유량호적신식호보성,뢰체화홍외수거융합인기료엄범적주의.이류전감기수거처리시수거융합중적일개난점.고필도량충전감기구유불동적측량유수,량측수거이보채양병이불동적속솔전수도융합중심참점,제출료일충신적이류전감기이보수거융합산법.통과최소이승법완성량충이보수거관련동보,연후대우상사성측도진행수거관련,여수거압축기술완성목표상태신식융합.이용상술방법,진행료방진실험험증료산법적유효성.
Radars have sound performance in orientation measure and infrared sensors have excellent performance in angle measure,which enables the two kinds of sensors complementary each other with information.But heterogeneous sensor data disposal is a difficult problem in data fusion.It is assumed that these sensors are asynchronous and the observation data are transmitted to a central station at a different rate.Think about these factors,the paper describes a new algorithm of data fusion based on the heterogeneous sensors which give asynchronous data.By the technique of least-square,two kinds of asynchronous data become synchronous,then association algorithm based on data similarity analysis and target state information fusion algorithm based on data compressing are used.In the end,simulation results have been given to prove its practicability.