| 摘要:针对柴油机辐射噪声低频梳状谱线控制问题，提出采用无延迟子带自适应滤波算法（DSAF）实现柴油机辐射噪声控制。对比分析DSAF算法与FxLMS算法、DSAF算法在不同子带数目下的降噪性能。在此基础上进行柴油机辐射噪声自适应控制试验研究，结果表明：DSAF算法可以显著节省计算资源，并且不会影响收敛性能，当噪声源为多线谱噪声时可以实现更大的降噪量，且在宽频段控制效果优于FxLMS算法；采用512个子带的DSAF算法比FxLMS算法提高了0.8 dB的降噪量，计算复杂度仅为FxLMS算法的79.6%。 |
| 关键词: 柴油机 噪声 多线谱 有源噪声控制 无延迟子带自适应滤波 |
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| Delayless Subband Adaptive Filtering Algorithm for Diesel Engine Radiated Noise |
| LI Xiaohu,PENG An,TONG Zongpeng,YIN Ziyu,HU Jie |
| Shanghai Marine Diesel Engine Research Institute, Shanghai 201108, China;National Engineering Laboratory for Marine and Ocean Engineering Power System, Shanghai 201108, China |
| Abstract:Aiming at the low-frequency grooming spectral control of diesel engine radiated noise，a delayless subband adaptive filtering algorithm（DSAF）to realize the control of diesel engine radiated noise was proposed.The noise reducing performance of the DSAF algorithm，the FxLMS algorithm and the DSAF algorithm for different numbers of subbands were compared and analyzed.Based on this，the adaptive control test of diesel engine radiation noise was carried out.The results showed that：The DSAF algorithm can significantly save computing resources without loss of convergence performance，and can achieve greater reduction when the noise source is multi line spectrum noise；the DSAF algorithm achieves better control result than the FxLMS algorithm in wide frequency band control；The DSAF algorithm of 512 subbands improves the noise reduction by 0.8 dB compared with the FxLMS algorithm，and the computational complexity is only 79.6% of the FxLMS algorithm. |
| Key words: diesel engine noise multiline spectrum active noise control delayless subband adaptive filter |
