The contributions of air-borne tyre noise to the overall interior noise sources of a vehicle were investigated using an acoustic beamforming technique based on the conditioned spectral analysis (CSA). This was realised using a set of accelerometers located at the various sources to measure the reference signals of these sources and, these reference signals were then applied successively in the CSA to eliminate the linear effects of these reference signals from the array microphone signals being processed. CSA is a signal separation technique that can be used for multi-reference purposes. In the CSA technique, multi-reference signals can be used to modify the original cross-spectral matrix of array microphone signals, and the combination of the acoustic beamforming method with CSA results in a powerful technique that can be used to separate sound maps into components of different mechanisms. In this paper, different signal separation techniques and their applications in acoustic beamforming are introduced. CSA-based acoustic beamforming is then proposed. The efficacy of the CSA-based acoustic beamforming was examined experimentally. Finally, the CSA-based acoustic beamforming was applied to the interior noise source localization of a vehicle to estimate the contributions from the air-borne tyre noise and other noise sources to the overall interior sound maps.

使用基于条件频谱分析 (CSA) 的声波束成形技术研究了空气传播的轮胎噪声对车辆整体内部噪声源的贡献。这是通过使用一组位于不同来源的加速度计来测量这些来源的参考信号来实现的，然后这些参考信号被连续应用到 CSA 中，以消除这些参考信号对正在处理的阵列麦克风信号的线性影响。CSA 是一种信号分离技术，可用于多参考目的。在 CSA 技术中，可以使用多参考信号来修改阵列麦克风信号的原始交叉频谱矩阵，声波束形成方法与 CSA 的结合产生了一种强大的技术，可用于将声图分离为不同机制的组件。本文介绍了不同的信号分离技术及其在声波束形成中的应用。然后提出了基于 CSA 的声波束成形。通过实验检验了基于 CSA 的声波束成形的功效。最后，将基于 CSA 的声波束成形应用于车辆内部噪声源定位，以估计空气传播的轮胎噪声和其他噪声源对整体内部声图的贡献。然后提出了基于 CSA 的声波束成形。通过实验检验了基于 CSA 的声波束成形的功效。最后，将基于 CSA 的声波束成形应用于车辆内部噪声源定位，以估计空气传播的轮胎噪声和其他噪声源对整体内部声图的贡献。然后提出了基于 CSA 的声波束成形。通过实验检验了基于 CSA 的声波束成形的功效。最后，将基于 CSA 的声波束成形应用于车辆内部噪声源定位，以估计空气传播的轮胎噪声和其他噪声源对整体内部声图的贡献。