摘要
针对导弹制导系统的特点要求,研究了基于Kalman滤波的信息融合算法并将其应用于主/被动雷达多模导引头系统中。研究了基于标量加权的分布式融合算法和基于增广测量方程的集中式融合算法并进行了数字仿真。研究结果表明信息融合算法能够提高多模导引头的测量精度,使融合精度受单一传感器影响更小,同制导律的闭合仿真也表明信息融合技术提高了制导精度,减小了脱靶量;分布式融合算法更方便实现时间校准从而便利于多模复合制导使用。此外,所研究的融合算法计算量小,易于工程应用。
Aim. To our knowledge, there is no paper in the open literature on data fusion algorithm for active and passive radar seeker. We now present two such algorithms. In the full paper, we explain our algorithms in detail; in this abstract, we just add some pertinent remarks to listing the three topics of explanation： （1） time alignment and space alignment, （2） system model and measurement model, and （3） Kalman filtering algorithms; the two subtopics of topic 1 are time alignment （subtopic 1.1） and space alignment （subtopic 1.2） ; under topic 2, eqs. （2） through （7） in the full paper are all taken from the open literature; the two subtopics of topic 3 are distributed filtering algorithm （subtopic 3. 1） and centralized filtering algorithm （subtopic 3.2）; these two filtering algorithms are the two data fusion algorithms for active and passive radar seeker; Kalman estimation is used to do time alignment in the distributed algorithm and least-squares estimation is used in the centralized algorithm; the distributed data fusion algorithm is based on scalar weighting coefficients and the centralized algorithm is based on augmented measurement equations; in subtopic 3. 1, eq. （13） in the full paper is the distributed data fusion algorithm derived by us. Simulation results are given in Fig. 3 （distributed data fusion algorithm）, Fig. 4 （centralized data fusion algorithm） and Table 1 in the full paper. These results show that both algorithms achieve higher precision than attainable with active seeker or passive seeker alone. Centralized data fusion algorithm decreases CEP from 2.4 m to 1.9 m; in this respect, distributed data fusion algorithm is just a little bit inferior. But the time alignment of distributed algorithm is easier to accomplish and it is simpler to apply in practice.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2007年第1期148-152,共5页
Journal of Northwestern Polytechnical University
基金
航天科技创新基金资助
