This paper studies the linear filtering problem in the presence of multiple packet dropouts and time-correlated channel noise that obeys a linear system model with white noise. By applying the measurement differencing method, the time-correlated channel noise is removed and a new measurement model with white noise is established. Then based on the new model, a linear minimum variance (LMV) filter dependent on the packet receiving rate is proposed by the innovation analysis approach. The proposed filter does not require computing the inverse of the system matrix. Simulation results verify the effectiveness of the designed filter.
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.