云模型和特征辐射源信息的平台目标识别

A Reorganization Method of Platform Based on Cloud Model and Trait Emitter Information

平台目标识别一般分为两个步骤,首先是对平台上辐射源的识别,然后通过辐射源和平台的关联进行平台识别。在辐射源识别阶段提出利用云模型描述和处理参数存在区间模糊和观测具有噪声的数据,较好地解决了对于带有复杂调制信号的辐射源识别问题。在平台识别阶段,就辐射源和平台关联的各种结果给出了新的计算样本和模板间匹配度的方法,并且提出利用平台的特征辐射源信息对平台识别结果进行进一步的筛选,以提高识别率。最后用仿真验证了该方法的有效性。

Platform recognition has two steps： first of all is the recognition of the emitter equipped on the platform,the other is by recognizing the platform correlate the emitter and platform.Firsity,this paper takes advantage of the cloud model’capacity of dealing with the interval fuzzy data to solve the problem of emitter recognition which has complex modulation signals better.Secondly,with regard to the results of the the emitter and the platform’correlation,this paper presents a new method to calculate the matching degree of the sample and the template.Moreover,this paper make the results of the platform recognition for further screening to incease the recognition rate using of the trait emitter information.Simulation results show that the method is applicable and effective.