机载探测设备目标识别算法的研究

针对机载探测设备多传感器系统具有多目标,大量观测数据的特点,提出了一种基于Demp-ster-Shafer（D-S）证据理论和主观Bayesian方法组合的数据融合算法。在数据融合过程中,为保证融合的实时性,融合系统采用时域融合和空域融合相结合的方法,首先对相同传感器的各次抽样值进行时域融合,然后传感器之间的融合采用D-S方法进行融合;最后,其融合结果经概率转化后,与来自于ELINT（Electronic Intelligence）的信息通过主观Bayesian方法进行识别级融合。最后给出一个实例,经过仿真计算证明了该算法的可行性和实用性。

Study on Target Identification Algorithm in Airborne Detection Equipment

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 ...