Multisensor Estimation Fusion for Wireless Networks with Mixed Data Delays

摘要: Motivated by the extensive application of sensor networks in multisensor target tracking systems, problem data fusion with mixed time delays which includes short timedelay and long time-delay is considered this paper. In order to overcome several primary problems occurred existing methods based on "Out-Of-Sequence" Measurements (OOSMs), such as high investment for huge computational complexity bad real-time performance so forth, a universal linear predict estimate weighted algorithm proposed. Different from OOSMs transmitted local sensors center are measurements, proposed sends estimates called Estimates (OOSEs). The calibration finished operation center. OOSEs method can avoid many existed method, but its accuracy lower than that after sort. This because smoothing estimate. superiorities illustrated analysis.