| 基于阵列信号的重型商用车声源的最小方差无畸变响应估计 |
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| 引用本文： | 郑四发,郝鹏,罗禹贡,连小珉. 基于阵列信号的重型商用车声源的最小方差无畸变响应估计[J]. 中国机械工程, 2008, 19(18): 0-2151 |
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| 作者姓名： | 郑四发 郝鹏 罗禹贡 连小珉 |
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| 作者单位： | 清华大学汽车安全与节能国家重点实验室,北京,100084 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 以声源的阵列测试信号为基础,建立了运动声源的观测方程.通过计权因子的优化,确定了声源特征函数的最小方差无畸变响应估计方法.对重型商用车声源识别结果说明,利用最小方差无畸变响应估计能较常规波束成形更好地识别出噪声源.
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| 关 键 词： | 最小方差无畸变响应估计 阵列信号 波束成形 噪声源识别 车辆 |
Array Signal Based MVDR Estimation of Noise from Heavy Duty Vehicles |
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| Zheng Si-fa,Hao Peng,Luo Yu-gong,Lian Xiao-min. Array Signal Based MVDR Estimation of Noise from Heavy Duty Vehicles[J]. China Mechanical Engineering, 2008, 19(18): 0-2151 |
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| Authors: | Zheng Si-fa Hao Peng Luo Yu-gong Lian Xiao-min |
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| Abstract: | Based on the measurement of array signals from moving noise sources, the observer equations for noise sources were built. The Capon minimum
variation distortionless response(MVDR) estimation method was obtained by optimizing the weighting factors. The identifying results is simulated and analyzed with a real running heavy duty vehicle. Comparing the results between common beam forming and MVDR method, it shows MVDR method has higher resolution and can identify the complex noise distribution of the moving heavy duty vehicle. |
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| Keywords: | Capon MVDR array signal beam forming noise sources identification vehicle |
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