Cognition and adaptability is a prominent aspect of Communication Intelligence (COMINT). Automatic Modulation Recognition (AMR) is one such aspect. AMR focuses on identifying modulation technique used at a particular carrier frequency which is got by spectral analysis (SA). The article deals with modulation recognition using feature based approach. This article addresses recognition of modulations both analog and digital sets. Analog modulations considered are Amplitude Modulation (AM), Frequency Modulation (FM), Phase Modulation (PM), Single Side Band Modulation (SSB) and Double Side Band Suppressed Carrier (DSB-SC). Digital modulations considered include Shift Keyings namely Amplitude Shift Keying (ASK), Frequency Shift Keying (FSK), Phase Shift Keying (PSK) with two and four symbols addressed as ASK2, ASK4, FSK2 , FSK4, PSK2, PSK4, respectively. Apart from this Quadrature Amplitude Modulation (QAM) with 8 symbols (QAM8) and Vestigial Side Band Modulation (VSB) stand as contenders for recognition. Its presumed that knowledge of carrier frequency,data rate and bandwidth of information is available with the recognizer; which might be extracted from SA. Analytic signal is built out of the intercepted signal frames and then Instantaneous Amplitude and Phase (IAP) is extracted from the signal frames. Statistical features are extracted from IAP. Intercepted signal frames are constructed using large sampling time, in other way considering large number of symbols in a frame which are used for threshold fixation for decision making. Finally a decision tree is designed and accuracy of the same is tested across varying modulations and noise levels.

中文翻译：

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修改后的架构，用于自动调制识别

认知和适应能力是通信智能（COMINT）的一个突出方面。自动调制识别（AMR）就是这样的一个方面。AMR专注于识别通过频谱分析（SA）获得的特定载波频率上使用的调制技术。本文使用基于特征的方法处理调制识别。本文介绍了模拟和数字集的调制识别。考虑的模拟调制为调幅（AM），调频（FM），调相（PM），单边带调制（SSB）和双边带抑制载波（DSB-SC）。所考虑的数字调制包括移位键控，即幅移键控（ASK），频移键控（FSK），相移键控（PSK），其两个和四个符号分别称为ASK2，ASK4，FSK2，FSK4，PSK2，PSK4。除了具有8个符号的正交幅度调制（QAM）（QAM8）和前边带调制（VSB）作为识别的竞争者。它假定识别器可以获取有关载波频率，数据速率和信息带宽的知识；可能是从SA中提取的。从截获的信号帧中构建分析信号，然后从信号帧中提取瞬时幅度和相位（IAP）。统计特征是从IAP中提取的。截取的信号帧是使用较大的采样时间构建的，也可以考虑帧中用于符号决策的阈值固定的大量符号。最终，设计了决策树，并在各种调制和噪声水平下测试了决策树的准确性。