基于多普勒频率变化率的固定单站定位算法研究

Research on Fixed Single Station Location Algorithm Based on Doppler Frequency Variation Rate

针对传统无源定位系统中定位精度差、收敛速度慢的特点,研究了基于多普勒频率变化率的定位原理,建立了基于多普勒频率变化率的固定单站对运动目标的定位模型,并结合修正增益的扩展卡尔曼滤波算法对定位数据进行处理,得到了较高精度的定位数据,通过试验仿真重点分析了基于多普勒频率变化率单站定位跟踪精度的影响因子,并验证了基于多普勒频率变化率的单站定位跟踪算法的有效性和稳定性。

In view of the low precision and slow convergence in traditional passive location system, the positioning principle based on Doppler frequency variation rate is researched in this paper. A fixed single station location model based on Doppler frequency variation rate is established and combined with the modified gain extended Kalman filter algorithm to deal with the positioning data, which obtains high precision position data.This paper focuses on the analysis of the influence factors on the accuracy of single station location tracking based on Doppler frequency variation rate and verifies the effectiveness and stability of the single station location tracking algorithm based on Doppler frequency variation rate by experiments.