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针对干信比未知情况下有源压制干扰分类识别结果可信度较低的问题,提出了一种基于FRFT域特征差异的压制干扰检测与分类算法。首先,通过FRFT域峰值阶次的序贯判决算法,进行压制干扰的存在性检测,以保证压制干扰分类识别在较高的干信比条件下进行;在此基础上,分别提取回波信号在FRFT域的极值阶次标准差和峰值阶次标准差作为分类识别特征量,同时,为避免硬判决造成的分类错误,采用模糊判决的方法得到基于不同特征参数的分类识别结果;最后,按一定准则将两种分类识别结果进行融合,以进一步提高分类识别结果正确率。仿真结果表明,与现有压制干扰分类识别算法相比,该算法较好的解决了分类识别结果可信度较低的问题,同时本算法具有较高的分类识别正确率。
Aiming at the low credibility of the classification results of active suppression interference under the condition of unknown signal to interference ratio, a jamming detection and classification algorithm based on the feature difference of FRFT domain is proposed. Firstly, through the sequential decision algorithm of peak order of FRFT domain, the existence of jamming interference is detected to ensure that the classification of jamming interferences is carried out under the condition of higher signal-to-interference ratio. On this basis, FRFT domain extremum standard deviation and peak order standard deviation as classification and identification features, and to avoid classification errors caused by hard-decision, the fuzzy decision method is used to obtain classification and recognition results based on different characteristic parameters. Finally, Certain criteria will be two kinds of classification results of the integration of fusion, in order to further improve the classification accuracy of recognition results. The simulation results show that the proposed algorithm resolves the problem of low confidence of the classification and recognition results better than the existing classification algorithms of suppressing interferences, and the algorithm has high classification accuracy.