Study on Target Identification Algorithm in Airborne Detection Equipment
Jing Hou · Aeronautical Computing Technique · 2009
To aim at the the multitarget and vast observational data character of the airborne detection equipment multisensor system,this paper provides a combined data fusion algorithm which based on both Dempster-Shafer evidence theory and Subjective Bayesian algorithm.In the data fusion process,to guarantee real time fusion,the fusion system adopts a combination of time domain fusion and space domain fusion.Firstly,this algorithm makes time domain fusion to the sampling values of the same sensor.Secondly,the data fusion among the multiple sensors uses the D-S method.Finally,the fusion result translated by probability,and then makes recognition level fusion with the information from ELINT(Electronic Intelligence) using the Subjective Bayesian algorithm.An example is present.The feasibility and practicability have been approved through computer simulation.