基于脉内特征的辅助分选技术研究

Study of Auxiliary Sorting Technology Based on In-pulse Characteristics

提出了一种基于现场可编程门阵列(FPGA)的脉内特征实时提取技术,利用时频分析方法实现对现有常见的脉内调制类型(简单脉冲、二相编码、四相编码、线性调频、频率编码)进行实时的检测及识别,并将脉内调制特征与传统的脉冲描述字结合构成扩展脉冲描述字;然后,利用聚类方法建立多维特征参数分选模型进行信号分选,由于充分利用脉内信息进行脉冲信号分选,进一步提高了信号分选的处理速度和分选准确率,并通过内场测试证明了方法的有效性。

This paper presents a real time extracting technology of in-pulse characteristics based on field-programmable gate array （FPGA）,uses time-frequency analysis method to perform real time detection and recognition to existing common in-pulse modulation types （conventinal pulse, binary phase shift keying, quadrature phase shift keying, linear frequency modulation, frequency shift ke- ying）, and combines in-pulse modulation characteristics with traditional pulse description word （PDW） to constitute extended PDW （EPDW）,then uses the clustering method to set up the multidimensional parameter sorting model for signal sorting. Due to the full use of the in-pulse information for pulse signal, the processing speed of signal sorting and sorting accuracy are further improved,and the validity of the method is proved by field test.