摘要
多基线干涉仪是电子战无源测向的重要方法。基于概率论提出多基线干涉仪测向最优估计,通过对不同基线的测向结果加权处理,可在最长基线长度一定的情况下,提高多基线干涉仪测向精度。分析干涉仪基线非独立和独立两种情况下测向精度的最优估值,并将该方法与Kalman滤波的思想进行类比。最后通过仿真,验证该最优估计方法的有效性。
Multi-Baseline interferometer is an important technique of passive direction finding in electronic warfare.Based on the probability theory,an optimal estimation method is presented for multi-baseline interferometer.The accuracy of direction finding could be improved by weighting the result of different baselines,when the longest baseline is fixed.The effect is discussed in the case of non-independent baseline and independent baseline.And the idea is compared with Kal-man filter.Also,the effectiveness of the method is verified by simulation.
作者
韩剑
高健
HAN Jian;GAO Jian(Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China)
出处
《电子信息对抗技术》
北大核心
2022年第2期38-43,共6页
Electronic Information Warfare Technology
关键词
相位干涉仪
正态分布
最优估计
多基线
KALMAN滤波
phase interferometer
normal distribution
optimal estimation
multi-baseline
Kal-man filter
