复调制ZOOMFFT在车辆发动机声信号谱估计中的应用

ZOOMFFT complex modulation signals in the vehicle engine sound application of spectral estimation

针对传统方法在车辆发动机声信号频谱研究中分辨率低的问题,提出将基于复调制的ZOOMFFT算法应用于车辆发动机声信号频谱研究中,基于复调制的ZOOMFFT算法可以很好地局部放大信号频谱、大大提高细化倍数及运算速度从而提高信号的频谱分辨率,并将ZOOMFFT算法与传统谱估计算法FFT及最大熵算法进行了比较。利用MATLAB软件进行仿真,仿真结果表明:将ZOOMFFT算法应用于车辆发动机声信号频谱研究中,与传统谱估计算法相比可以很好地提高信号的频谱分辨率。

Aiming at the problem of low resolution in studies of traditional method in vehicle engine acoustic signal spectrum .A algorithm based on complex modulation ZOOMFFT is proposed in vehicle engine sound study.The algrithm based on complex modulation ZOOMFFT can amplify the signal spectrum of local, greatly improve the speed of operation refinement ratio and spectral resolution to improve the signal,and compared with the traditional FFT spectral estimation algorithm and maximum entropy algorithm.Using MATLAB software simulation results show that： the ZOOMFFT algorithm is applied to the vehicle engine sound signal spectrum study, compared with the traditional spectral estimation algorithm can improve the signal spectrum of good resolution.