江亮坤　顧智涵　崔懷峰

摘 要：在固定步長(zhǎng)前饋L-FxLMS算法的基礎(chǔ)上，提出變步長(zhǎng)前饋L-FxLMS算法。變步長(zhǎng)因子通過(guò)誤差信號(hào)來(lái)調(diào)整，步長(zhǎng)因子中包含控制變步長(zhǎng)函數(shù)的形狀和范圍兩個(gè)參數(shù)。通過(guò)實(shí)車采集車內(nèi)噪聲信號(hào)并通過(guò)固定步長(zhǎng)和變步長(zhǎng)L-FxLMS算法對(duì)其進(jìn)行控制。仿真結(jié)果表明，所提出的變步長(zhǎng)前饋L-FxLMS算法在收斂速度和穩(wěn)態(tài)性能方面均比固定步長(zhǎng)L-FxLMS算法更好。

關(guān)鍵詞：L-FxLMS算法 變步長(zhǎng) 固定步長(zhǎng) 泄漏因子 主動(dòng)噪聲控制

Research on Active Control of Vehicle Interior Noise Based on Variable Step L-FxLMS Algorithm

Jiang Liangkun Gu Zhihan Cui Huaifeng

Abstract：Based on the fixed-step feedforward L-FxLMS algorithm，a variable-step feedforward L-FxLMS algorithm is proposed. The variable step size factor is adjusted by the error signal，and the step size factor contains two parameters that control the shape and range of the variable step size function. The noise signal in the car is collected by the real car and controlled by the fixed step length and variable step length L-FxLMS algorithm. The simulation results show that the proposed variable-step feedforward L-FxLMS algorithm is better than the fixed-step L-FxLMS algorithm in terms of convergence speed and steady-state performance.

Key words：L-FxLMS algorithm; variable step size; fixed step size; leakage factor; active noise control