多目标跟踪中由于RCS闪烁和杂波变化造成的测量噪声波动，导致测量噪声并不是完全服从高斯分布。研究了基于渐近平稳过程的噪声模型，引入测量值置信度函数，提出了一种将测量值置信度反馈至滤波过程的方法，通过修正新息协方差阵及增益矩阵，降低测量噪声波动对滤波的影响。该方法增强了噪声压缩能力，有效地抑制了滤波的误差尖峰。最后，仿真结果验证了所提方法的有效性与可行性。

In multitarget trackingthe measurement noise is not an absolute Gaussian distribution because of clutter and the undulation of RCS.A model of noise was studied based on asymptotic stationary processand a confidence function was introduced.A method that could feed back the confidence degree of the measured value to the filtering process was proposed.By correcting the gain matrix and covariance matrixthe effect of measuring noise fluctuation on filtering was reduced.The method could enhance the ability of the noise compression and restrain the peak error.Simulation result verifies the validity and feasibility of the method.