基于等权平均压缩技术的雷达/红外传感器融合算法

针对雷达/红外传感器融合时经常面临的数据采样率不相等问题,提出了一种基于等权平均量测压缩技术的雷达/红外融合算法。该算法通过将高采样率的红外角度量测数据进行等权平均压缩,更有效地利用了目标信息,进而提高了雷达/红外融合后的信息精度。仿真结果验证了算法的有效性;且相对于最小二乘压缩的雷达/红外融合算法具有更高的精度。

A Radar/Infrared sensor fusion algorithm under different sampling rate

Concerning the problem of different sampling rate which often exists in the radar/infrared sensor fusion,this paper presented a radar and infrared fusion algorithm based on equal weighted average measurment compression technology. The algorithm used infrared angle data which had high sampling rate more efficiently via equal weighted average measurment compression, and so the fusion result accuracy was improved.The simulation results demonstrated the effectiveness of this algorithm,and had higher precision compared with the fusion algorithm based on least squares compression.