我所李润梅老师课题组完成的论文《Broadband Feedforward Active Noise Control with a New Variable Step-Size Filtered-X LMS Algorithm for High-Speed Trains》于2025-10在《IEEE International Conference on Intelligent Rail Transportation (ICIRT)》正式发表。论文摘要如下：
Abstract: For low-frequency noise fields such as those found in high-speed trains, active noise control (ANC) is now a desirable option. Variable step size Filtered-x Least Mean Square (VSS-FxLMS) algorithm is conventionally used in ANC systems. However, the transient response and steady-state performances are constrained by a step size update function which is used to achieve variable step size. A transformed sigmoid function is proposed to meet the demands of variable step size for faster convergence speed, and it is introduced into Filter-x Least Mean Square (FxLMS) algorithm to form VSS-FxLMS algorithm. At the same time, three parameters are introduced which determine the characteristic of the sigmoid function. Observing the nonlinear relationship during these parameters, we utilize genetic algorithm (GA) to adjust them because GA have strong nonlinear optimization ability. To address impulse noise in actual rail traffic situation, a maximum step size is added to ensure the ANC system's convergence. Simulation results in various conditions verify that the proposed method has a satisfactory speed of convergence and steady-state noise reduction performance and the feasibility of dealing with real driving environment noise.
引用信息：Kexin Liang, Runmei Li, Shuyun Dong. Broadband Feedforward Active Noise Control with a New Variable Step-Size Filtered-X LMS Algorithm for High-Speed Trains. IEEE International Conference on Intelligent Rail Transportation (ICIRT), 2025-10. DOI: 10.1109/icirt66379.2025.11216695