Volume 7 Issue 2 - July 2016

  • 1. A review of multi sensor data fusion for signal processing

    Authors : Mahesh Kumbhar

    Pages : 466-470

    DOI : http://dx.doi.org/10.21172/1.72.572

    Keywords : Extended Kalman Filter- (EKF) and Adaptive Fuzzy Logic System (AFLS).

    Abstract :

    Abstract: Nowadays sensors have become part and parcel of every technological development around the globe. The handling of data by sensors and its fusion is a very common scenario in networks having more number of nodes. Thus there is a need to highlight the different scenarios and techniques used for multi sensor data fusion. The paper illustrates the different techniques adapted by various researchers for signal processing and its allied activities.

    Citing this Journal Article :

    Mahesh Kumbhar, "A review of multi sensor data fusion for signal processing", https://www.ijltet.org/journal_details.php?id=906&j_id=3277, Volume 7 Issue 2 - July 2016, 466-470, #ijltetorg