Nonlinear Narrowband Active Noise Control for Tractors Based on a Momentum-Enhanced Volterra Filter

Tao Zhang, Zhixuan Guan, Shuai Zhang, Kai Song and Boyan Huang ()
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Tao Zhang: Electrical Engineering and Information College, Northeast Agricultural University, Harbin 150030, China
Zhixuan Guan: Electrical Engineering and Information College, Northeast Agricultural University, Harbin 150030, China
Shuai Zhang: Electrical Engineering and Information College, Northeast Agricultural University, Harbin 150030, China
Kai Song: Electrical Engineering and Information College, Northeast Agricultural University, Harbin 150030, China
Boyan Huang: Electrical Engineering and Information College, Northeast Agricultural University, Harbin 150030, China

Agriculture, 2025, vol. 15, issue 15, 1-23

Abstract: Nonlinear narrowband low-frequency noise generated during tractors’ operation significantly affects operators’ comfort and working efficiency. Traditional linear active noise control algorithms often struggle to effectively suppress such complex acoustic disturbances. To address this challenge, this paper proposes a momentum-enhanced Volterra filter-based active noise control (ANC) algorithm that improves both the modeling capability of nonlinear acoustic paths and the convergence performance of the system. The proposed approach integrates the nonlinear representation power of the Volterra filter with a momentum optimization mechanism to enhance convergence speed while maintaining robust steady-state accuracy. Simulations are conducted under second- and third-order nonlinear primary paths, followed by performance validation using multi-tone signals and real in-cabin tractor noise recordings. The results demonstrate that the proposed algorithm achieves superior performance, reducing the NMSE to approximately −35 dB and attenuating residual noise energy by 3–5 dB in the 200–800 Hz range, compared to FXLMS and VFXLMS algorithms. The findings highlight the algorithm’s potential for practical implementation in nonlinear and narrowband active noise control scenarios within complex mechanical environments.

Keywords: tractor noise; active noise control; nonlinear narrowband noise; Volterra filter; momentum-based optimization; adaptive filtering algorithm (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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