多传感器反馈分层融合算法性能研究

A Study of Performance of Multi-sensor Hierarchical Fusion Algorithm with Feedback

ChangK .C .于近期研究了两传感器非实时分层融合算法的稳态性能 ,结果表明全反馈条件下的融合性能要劣于部分反馈 ,特别当过程噪声较大时提高通信频率并不能改善全反馈算法的性能。与上述研究不同 ,本文重点考察了融合系统中传感器数目对非实时有反馈分层融合算法性能的影响。研究结果表明 :当过程噪声较小时 ,增加传感器的数目不仅不能改善全反馈算法的性能反而会使性能降低 ,所得结论进一步推广和发展了ChangK .C .

Of late years, steady performance of two sensor hierarchical fusion algorithm with non-full-rate communication was evaluated by Chang K.C., the result indicates that the performance of the algorithm with complete feedback is not so good as that of the algorithm with partial feedback and moreover, in the case of complete feedback, the increment of data rate does not improve the performance. In the research, more attention is paid to the effect of the number of sensors on the steady performance of the algorithm with different feedback mechanism. It shows that for the algorithm with complete feedback, in the case of process noise being relatively small, the increase in the number of sensors does not improve but worsens the performance. This conclusion is an extension and development of the work by Chang K. C.