摘要
在线性最小方差最优信息融合准则下,提出了一种新的修正加权融合准则。在此基础上,结合子波域多尺度分解理论,构建了子波域多尺度多传感器按修正加权最优信息融合方法。该方法由于采用了修正的加权融合准则和子波域多尺度分解,提高了融合精度,减少了计算负担,便于实际应用。两个典型运动的仿真例子说明了其有效性。
Based on the optimal information fusion rule in the mean of linear minimum variance,a new kind of improved weighted fusion rule was proposed.In addition,combining multiscale analysis in wavelet domain,a kind of multi-sensor optimal information fusion in wavelet domain was built.It is the introduction of improved weighted fusion rule and multiscale decomposition,and the fusion performance,including precision and complexity,has been improved than matrix-weighted in time domain.An example of radar tracking illuminates its usefulness.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2012年第6期1265-1269,共5页
Journal of System Simulation
基金
总装预研基金项目(9140C4602041001)
国家自然科学基金(60304007)
航空科学基金(20075157007)
关键词
修正加权融合
子波域
多尺度
多传感器融合
improved weighted fusion
wavelet domain
multiscale analysis
multi-sensor fusion
