Target Identification in Battlefield Based on Evidence Theory
Libiao Tong, Wenjun Lu, Congli Li · 2009
With the development of digital and waveform micro-seismic emission (ME) technology, it makes the recognition of ME source possible. Because of the noise and complex of ME signal transmission characteristic, the recognition of ME source is very difficult. In order to resolve this problem, the new method of multi-sensor data fusion on decision level was presented. Using the data from each sensor in a location set and considering the confidence value for each sensor, the ME source characteristics were acquired. Experiment results show that the Battlefield target recognition based on Dempster-Shafer evidence Theorypsilas data fusion result is better than that of single sensor and the multi-sensor data fusion method is effective.