Fusion Filtering Method Based on Pseudo-measurement Model Library for Multisensor Systems with Delay Measurements
Information transferring process in sensor network will appear delay, out-of-sequence even dropout. How to make full use of such information is extremely important to improve the state estimation accuracy. In this paper, it presents a new method, which can effectively improve the estimation accuracy .Firstly, a local pseudo-measurement model library is established to deal with the measurement with several steps delay, then sent the local estimates to the fusion center; Secondly, in the fusion center, under the unbiased linear minimum variances weighting fused rule, the fusion Kalman filter based on a matrix weighted fusion algorithm processes the local estimates, thus obtain the global results. Simulations verify the effectiveness of this method.
Wireless sensor network Delay measurement weighted fusion filter Pseudo-measurement model library
Ye Haihong Wen Chenglin Feng Xiaoliang
College of Automation, Hangzhou Dianzi University, Hangzhou 310018 College of Automation, Hangzhou Dianzi University, Hangzhou 310018;College of Electrical Engineering
国际会议
长沙
英文
5162-5167
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）