Abstract
Abstract In this paper, we propose a high-order lattice adaptive notch filter (LANF) that can robustly track multiple sinusoids. Unlike the conventional cascade structure, the proposed high-order LANF has robust tracking characteristics regardless of the frequencies of reference sinusoids and initial notch frequencies. The proposed high-order LANF is applied to a narrowband adaptive noise cancellation (ANC) to mitigate the effect of the broadband disturbance in the reference signal. By utilizing the gradient adaptive lattice (GAL) ANC algorithm and approximately combining it with the proposed high-order LANF, a computationally efficient narrowband ANC system is obtained. Experimental results demonstrate the robustness of the proposed high-order LANF and the effectiveness of the obtained narrowband ANC system.
Highlights
Retrieving or eliminating multiple sinusoids buried in broadband noise is an important problem in many applications, such as narrowband noise cancellation [1] and active noise control [2]
The proposed high-order lattice adaptive notch filters (LANF) can be applied to the narrowband adaptive noise cancellation (ANC) problem, in which the reference signal is contaminated by a broadband disturbance
The performance of the gradient adaptive lattice (GAL) narrowband ANC system employing the high-order LANF is evaluated, and it is compared with performance of adaptive filters recently proposed in [12] and [13]
Summary
Retrieving or eliminating multiple sinusoids buried in broadband noise is an important problem in many applications, such as narrowband noise cancellation [1] and active noise control [2]. The proposed high-order LANF can be applied to the narrowband ANC problem, in which the reference signal is contaminated by a broadband disturbance. Experimental results are provided, where the performance of the proposed high-order LANF and of the new GAL narrowband ANC system is evaluated and compared with that of the conventional algorithms.
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