一种基于雷达数据的异步融合方法

Asynchronous Fusion Methods Based on Radar Data

对于多传感器信息融合系统，因不同传感器的采样周期的差异，融合中心所收到的一般为异步信息。而直接采用同步融合算法对异步信息进行融合往往无法达到理想的融合效果。本文为解决此类融合问题提出了一种具备噪声辨识能力的自校正插值融合方法，该方法可以对任意周期的传感器数据进行异步融合操作，并对未知系统噪声方差进行辨识，或对由插值所引入的噪声方差变化加以修正。

For multi-sensor information fusion system, because of different sampling period between the sensor, the fusion center is generally received asynchronous messages.Synchronize directly with the asynchronous fusion algorithm for information fusion are often unable to achieve the desired fusion.Paper to address these integration issues with the noise of a self-correction interpolation discerning fusion method,which can be for any period for asynchronous sensor data fusion operation,and identify the unknown system noise variance, or by the interpolation of the changes introduced.by the noise variance to be amended.