Adaptive noise filtering technology of multi-sensor based on EEMD
Aiming at the problem that passive signals acquired by multi-sensor exist noise which limit its applications,an adaptive noise filtering technology of multi-sensor information fusion based on ensemble empirical mode decomposition (EEMD )is proposed.Firstly,an adaptive noise filtering system is constructed.Then,to decompose the signals of multi-sensor by EEMD,to weight the decomposed signals by multi-sensor integrated support degree,the reference noises were gained by multi-sensor information fusion.To put reference noises into adaptive noise canceling system,making the output signals of adaptive noise canceling implement to cancel the noises of signals by LMS,in order to get the final denoising signals.Finally,the proposed method is applied to multi-sensor signals of two targets,and obtains satisfactory denoising results.
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