论文部分内容阅读
分段谱相关函数算法SSCA(Strip Spectral Correlation Algorithm)是一种实用的高效循环谱估计算法,对循环平稳信号的检测和参数估计的硬件实现具有重要意义。利用信号的循环平稳特性能很好的抑制平稳噪声和干扰,实现低信噪比条件下信号检测与参数估计。文章以SSCA的ADSP TS201S的实现为研究重点,分析了实时运算时各参数的选取依据,讨论了工程实现的难点和解决方案,并给出了程序的优化方案,为循环谱的工程应用打下坚实的基础。
Spectral Correlation Correlation Algorithm (SSCA) is a practical and efficient algorithm for estimation of cyclic spectrum. It is of great significance for hardware implementation of cyclic stationary signal detection and parameter estimation. Utilizing the cyclostationarity of the signal can restrain the steady noise and interference well, and realize signal detection and parameter estimation under low signal-to-noise ratio. This paper focuses on the implementation of ADSP TS201S in SSCA, analyzes the basis for selecting parameters in real-time operation, discusses the difficulties and solutions of the project implementation, and gives the program optimization program, laying a solid foundation for the application of cyclic spectrum Foundation.