针对定向设备寻北过程中易受阵风、人员走动等随机干扰影响降低寻北精度的问题,提出了基于递推加权最小二乘估计的定向设备寻北抗干扰算法。该算法以定向设备惯性敏感器输出数据为观测量,实时辨识数据的有效性和精度,并计算加权系数,通过递推算法进行数据滤波,提高了动态条件下惯性器件输出测量数据的估计精度。试验结果表明,该算法能够确保定向设备在5级阵风、发动机和载车取力发电干扰条件下的寻北精度。

Since directional system is sensitive to random interference, gust or libration by people walk, for example, the anti-interference approach based on the recursive weighted least squares was proposed. The approach takes inertial unit output as observation variable, and effectiveness and precision of the data were identified in real-time. According to the result, the arithmetic makes use of the data with weighted coefficient. The approach boosts filter precision of the inertial units under random sway disturbance. The test results show that the algorithm is efficiency for north-seeking equipment The algorithm can ensure that the north-seeking accuracy of directional equipment at level 5 gust of wind, engine and vehicle power generating interference conditions.