Multi-photoelectric detection sensor target information recognition method based on D-S data fusion

To improve the capture rate, recognition rate and weaken the false target influence in multi-photoelectric detection sensor testing system, this paper proposes D-S data fusion recognition processing method to distinguish the real target signal and interference signal when the flying target passes through each unit photoelectric detection screen; structures a new vague D-S data fusion recognition processing model and recognition algorithm based on the principle of four-photoelectric detection sensor testing system and target signal characteristics; researches the reliability probability density function under recognition framework of multi-photoelectric detection sensor testing system, and uses four photoelectric detection sensors as an evidence body to build reliability density function values and obtains different support degrees, and gives detail derivation and analysis. Through experiment and analysis, the results show that the larger support degree signals can be seen as real target signals in the same condition, and the proposed identification method and recognition algorithm can meet the target identification requirement of multi-photoelectric detection sensor testing system.