相位差变化率定位法中缺失值精确填补研究

采用目标信号相位差和载频为观测量,利用相位差变化率定位算法对目标进行定位时,由于条件限制和外界干扰,侦察系统会丢失某些观测数据,导致定位精度迅速下降。为此,提出利用最小二乘多项式曲线拟合法填补观测数据的缺失值,再进行定位解算。该方法不仅具有较精确的填补能力,而且不受缺失值分布情况的限制,保证了测量值的完整性和准确性,实现了相位差变化率定位法的快速高精度定位。仿真结果表明,该方法在5s内的相对定位误差为2.14%。

Study on Missing Data Imputation of Passive Location Based on Phase Difference Rate of Change

Take object signal phase difference and carrier frequency as observation variables and utilizing phase difference rate of change passive location method goes to object. Because of disturbance,measurement data may be missed and the that passive location precision of phase difference change rate rapidly declines. A least squares curve fitting method is presented to fill up missing data. This method can not only be provided with highly precise filling ability but also be good at stable performance no matter what form of missing data will be. Therefore taking this method we can realize fast and exact passive location of phase difference change rate. Simu-lation results show that the method can reach corresponding passive location error 2. 14% within 5 s.