Abstract:Measurement covariance has been widely used in the field of multi-sensor track fusion. It is of great significance to study the transformation method of measurement covariance between different coordinate systems. The conversion method of measurement covariance has been partially studied, but there is not a clear conversion framework for covariance conversion between different coordinate systems, which may affect fusion accuracy. This paper conduct-ed research on the measurement covariance transformation method in track fusion, which included linear transformation and nonlinear transformation. It provided a standardized covariance transformation process and unified transformation formula for track fusion processing based on covariance weighting. Taking the conversion in nonlinear coordinate system as an example, the simulation verified that, under different positions and different measurement accuracy, the relative error of the method remains within an acceptable range. The converted covariance is conducive to improving the accuracy of track fusion, which shows the effectiveness of this method and can be widely used in distributed track fusion.