为改善多个同类传感器检测目标参数的性能 ,提出了根据各传感器量测数据品质对量测数据加权处理 ,并将加权后的数据作为递推最小二乘法的实时量测值的最优加权与递推最小二乘法相结合的多传感器信息融合方法。仿真结果表明 ,该方法在数据处理的精确性和稳健性方面都优于普通的处理方法。 In order to improve the performance of many similar sensors in detecting target parameters, the optimal weighted sum of real-time measured values ​​weighted by the measured data quality of each sensor and the weighted data as recursive least square Recursive Least Squares Combined Multisensor Information Fusion Method. Simulation results show that this method is superior to ordinary processing methods in accuracy and robustness of data processing.