基于调制信号识别的希尔伯特变换实现及优化

Realization and Optimization of Hilbert Based on Modulation Recognition of Communication Signals

信号瞬时特征量来源于信号希尔伯特变换后的解析信号,要获取信号的完整信息,需要对信号进行精确而高速的希尔伯特变换.鉴于实时处理和高精度的要求,文中从算法和硬件结构上,对离散希尔伯特变换进行了优化,保证变换精度的同时将硬件乘法和加法计算量降低约50%,并且给出了硬件系统实现方案.仿真验证表明,变换后信号能正确提取出调制信号的瞬时特征.该算法能用于实时的信号调制识别系统之中.

Instant character parameter of signals derives from the analytic signals after hilbert transformation,the capture of complete information of signals request exact and high-speed hilbert transformation. This paper optimizes hilbert transformation with both algorithm and hardware structure as a result of 50% resource saved and validation of emulator is done. It is realized the algorithms can be used in real-time system of signals modulation recognition.