CAJ | 학술논문

　　在α稳定分布下结合共变理论、循环平稳理论和分数低阶矩(FLOM)等理论，提出基于SSCA的低阶循环谱算法，分析了该算法中存在的循环泄露，并对调幅信号做实验仿真。结果表明在α稳定分布下二阶循环平稳信号的低阶循环谱密度和在高斯模型下的循环谱结构是一致的，但基于α稳定分布假定所设计的信号处理算法对信号噪声特性不确定情况具有较好的韧性和抗脉冲噪声性能。最后利用低阶循环谱提取了调制信号的特征参数，为复杂背景下的调制识别或者盲分离提供新的途径。
　　재α은정분포하결합공변이론、순배평은이론화분수저계구(FLOM)등이론，제출기우SSCA적저계순배보산법，분석료해산법중존재적순배설로，병대조폭신호주실험방진。결과표명재α은정분포하이계순배평은신호적저계순배보밀도화재고사모형하적순배보결구시일치적，단기우α은정분포가정소설계적신호처리산법대신호조성특성불학정정황구유교호적인성화항맥충조성성능。최후이용저계순배보제취료조제신호적특정삼수，위복잡배경하적조제식별혹자맹분리제공신적도경。
A new method combining covariation, cyclostationarity and FLOM for calculating low order spec-trum was proposed based on SSCA. Simulation were made for amplitude modulation signals and the result underαstable distribution showed that the spectrum instruction of two order cyclostationary signals was the same as under the Gauss model. However, the methods constructed under the stable distribution had better anti-noise performance than under the Gauss model. The characteristic parameters based on modulated signals’ low order cycle-spectrum were extracted and thus a new way was given for modulation recognition and blind separation in a complex environment.