Optimal update with out-of-sequence measurements for distributed filtering

Keshu Zhang1, X.R. Li1
1Department of Electrical Engineering, University of New Orleans, New Orleans, LA

Tóm tắt

This paper is concerned with optimal filtering in a distributed multiple sensor system with the so-called out-of-sequence measurements (OOSM). Based on BLUE (best linear unbiased estimation) fusion, we present two algorithms for updating with OOSM that are optimal for the information available at the time of update. Different minimum storage of information concerning the occurrence time of OOSMs are given for both algorithms. It is shown by analysis and simulation results that the two proposed algorithms are flexible and simple.

Từ khóa

#State estimation #Delay effects #Time measurement #Sensor systems #Target tracking #Filtering #Sensor fusion #Noise measurement #Electric variables measurement #Mathematics

Tài liệu tham khảo

bjackman, 1999, Design and Analysis of Modem Tracking Systems bar-shalom, 1995, Multitarget-Multisensor Tracking Principles and Techniques bar-shalom, 2000, Update with out-of-sequence measurements in tracking: Exact solution, Proc 2000 SPIE Conf on Signal and Data Processing of Small Targets, 4048, 10.1117/12.392006 10.1109/AERO.2001.931505 li, 2000, Unified optimal linear estimation fusion-part i: Unified models and fusion rules, Proc 2000 International Conf on Information Fusion, 17, 10.1109/IFIC.2000.862451 li, 2001, Optimal linear estimation fusion-part tv: Optimality and efficiency of distributed fusion, Proc Int Conf Information Fusion hilton, 1993, Tracking with time-delayed data in multisensor systems, Tech Rep NSWCDD/TR-93/351 Naval Surface Warfare Center 10.1109/CDC.1988.194759