摘要：SSCA(strip spectral correlation algorithm)算法是一种循环谱时域平滑算法．为了解决该算法运算量

大，不能实时计算的矛盾，本文提’出利用改进的滑动FF．I’算法和一位相关算法代替SSCA算法中滑动

相关算法．给出了改进算法的数字实现方法和步骤，并用软件和硬件平台进行验证．仿真和试验结果表明：文

中提出的数字实现算法能对信号的循环谱进行实时分析，能节约大量运算时间和存贮空间．基本解决了循环

谱算法不能工程应用的问题．-Abstract: SSCA (strip spectral correlation algorithm) algorithm is a smoothing algorithm for time-domain cyclic spectrum. To solve this algorithm large, the contradiction can not be calculated in real time, this put ' out of the use of improved sliding FF. I ' algorithm and a related algorithm SSCA algorithm instead of sliding correlation algorithm. Improved algorithm is given the number of implementation methods and procedures, and used to verify software and hardware platforms. Simulation and experimental results show: The presented algorithm can figure the cycle of the signal in real-time spectrum analysis, can save a lot of computing time and storage space. Cyclic spectrum of basic algorithms can not solve the engineering problem.