本發明提出一種對於具有多層次大小的數位調變信號之調變識別的方法與裝置。此調變識別方法包含選擇多種量化值來建構相關於一序列資料大小的多種統計長條圖，建立一個離線處理來對每一欲被識別之調變種類抽取出多種有用的特徵樣本，接收調變的目標信號之一序列的取樣值而建構相關於這些取樣值大小的多種統計長條圖，及採用一種階層式的分類方法來做調變識別。它可應用於適應性的調變通訊系統、軟體無線電、數位廣播系統及軍事通訊系統。它也可整合於其他調變信號形式的調變識別技術以運作於一通用的解調變器。它具有低計算複雜度來識別多層次大小的數位調變信號，以提升通訊系統的效能 A modulation recognition method and device for digitally modulated signals with multi-level magnitudes are provided. The modulation recognition method includes selecting plural of quantization sizes used to construct plural of statistic histograms related to the magnitude of a sequence of data, setting up an off-line processing to extract plural of useful feature patterns for each modulation type of interest, receiving a sequence of samples of the modulated object signal and constructing plural of statistic histograms related to the magnitude of these samples, and adopting a hierarchical classification method for modulation recognition. It can be applied to the adaptive-modulation communication system, software defined radio, digital broadcasting systems and military communication systems. It can also be integrated with modulation recognition techniques for other types of modulated signals to function in a universal demodulator. It recognizes digitally modulated signals of multi-level magnitudes with low computational complexity in advancing the efficiency of communication systems.
本發明提出一種對於具有多層次大小的數位調變信號之調變識別的方法與裝置。此調變識別方法包含選擇多種量化值來建構相關於一序列資料大小的多種統計長條圖，建立一個離線處理來對每一欲被識別之調變種類抽取出多種有用的特徵樣本，接收調變的目標信號之一序列的取樣值而建構相關於這些取樣值大小的多種統計長條圖，及採用一種階層式的分類方法來做調變識別。它可應用於適應性的調變通訊系統、軟體無線電、數位廣播系統及軍事通訊系統。它也可整合於其他調變信號形式的調變識別技術以運作於一通用的解調變器。它具有低計算複雜度來識別多層次大小的數位調變信號，以提升通訊系統的效能 A modulation recognition method and device for digitally modulated signals with multi-level magnitudes are provided. The modulation recognition method includes selecting plural of quantization sizes used to construct plural of statistic histograms related to the magnitude of a sequence of data, setting up an off-line processing to extract plural of useful feature patterns for each modulation type of interest, receiving a sequence of samples of the modulated object signal and constructing plural of statistic histograms related to the magnitude of these samples, and adopting a hierarchical classification method for modulation recognition. It can be applied to the adaptive-modulation communication system, software defined radio, digital broadcasting systems and military communication systems. It can also be integrated with modulation recognition techniques for other types of modulated signals to function in a universal demodulator. It recognizes digitally modulated signals of multi-level magnitudes with low computational complexity in advancing the efficiency of communication systems.