基于声全息技术的噪声源识别与DSP实现

针对传统噪声源识别无法充分利用声场信息以及不便于实现等问题，文中以共轭汇聚波原理及声全息法为理论基础，提出了应用二维傅里叶变换（2DFFT）计算复杂面积分的全息重建算法。根据该种算法的数据量大，运算复杂的特点，选取TI公司TMS320C6701这款超高速浮点DSP芯片，采用C和汇编语言混合编程，实现了声全息算法DSP的应用。通过实验较为准确地识别出噪声源位置，显示出此声源识别系统具有速度快、精度高、实用性强的特点。

Noise Source Identification Based on Acoustic Holography and DSP Implementation

Aiming at the problem that the traditional noise source identification can not make full use of the information of the sound field and inconvenient to achieve. This article put forward a new algorithm grounded on the Acoustic Holography method based on the principle of convergence of conjugated wave. The algorithm exploits 2-dimensional Fast Fourier Transformation （2D FFT） to calculate the complex surface integral thus improves the efficiency of calculation greatly. Based on this new algorithm with huge data and complex operations, the ultra high-speed floating-point DSP chip TMS320C6701 produced by TI Company is selected. Mixed by C and Assembly Language, application of acoustic holography algorithm on DSP can be realized. It is more accurate to identify the location of the noise source through the experiment and it shows the system has the features of high precision, high speed and strong practicability.