一种基于短时信号改进CWD的识别方法

A Recognition Approach Based on Improved Choi-Williams Distribution of Short-time Signals

为了提高信号识别的效率和性能,在相关域内对短时信号模糊函数分析的基础上,针对短时信号对Choi-Williams分布(CWD)的核函数进行了改进,提出对信号取少量的短时信号段运用改进后的CWD在时频域进行比较的识别方法。实验表明该方法在减少了计算量提高了信号识别的灵活性的同时,也保持了CWD较强的抗噪声性能。

To improve the efficiency and performance of signal recognitions, based on the analysis of the short-time signal＇s ambiguity function in the time-lag domain, the kernel function of Choi - Williams Distribution （CWD） was improved for short-time signals. After several short-time sections of the signal to be recognized, a new recognition approach was realized by comparing them in the time-frequency domain using the improved CWD. The experimental results showed that the approach not only reduces the calculation and improves the agility of the recognition but also maintains the high performance of CWD under noise environments.