中文摘要：

传感器量测噪声通常可表示为一阶时间相关的Markov随机序列。该文将单传感器的色噪声量测滤波方法推广到多传感器的情形，提出了6种色噪声下的多传感器量测融合算法。通过协方差分析技术和仿真实验，对各算法的滤波精度、计算量和使用灵活性等性能进行了比较性评估。由评估结果得出的两条算法选取原则对实际中量测融合算法的选择具有一定的指导意义。

英文摘要：

Usually the sensor colored noise is modeled as an AutoregRessive （AR） process. This paper proposes six multisensor measurement fusion algorithms by generalizing the single sensor filtering methods with colored noise. The performance of the algorithms, such as estimation accuracy, computation cost and flexibility is compared by covariance analysis technique and two simulation examples. Some conclusions are valuable to choose algorithm in the engineering applications.