A Delayless Frequency-Domain Kalman Filter with Improved Tracking Capability for Acoustic Feedback Cancellation

LU Cai-xia; YANG Fei-ran; YANG Jun

doi:10.3969/j.issn.0372-2112.2018.08.021

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A Delayless Frequency-Domain Kalman Filter with Improved Tracking Capability for Acoustic Feedback Cancellation

更新时间：2025-07-16

- A Delayless Frequency-Domain Kalman Filter with Improved Tracking Capability for Acoustic Feedback Cancellation
- Acta Electronica Sinica Vol. 46, Issue 8, Pages: 1954-1959(2018)
- 作者机构：
  
  1. 中国科学院噪声与振动重点实验室(声学研究所),北京,100190
  2. 中国科学院大学,北京,100049
  3. 中国科学院噪声与振动重点实验室(声学研究所),北京,100190
  4. 中国科学院大学,北京,100049
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61501449)
- DOI：10.3969/j.issn.0372-2112.2018.08.021
  CLC： TN911.72
- Published Online：25 August 2018，
  
  Published：2018
- 稿件说明：
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LU Cai-xia, YANG Fei-ran, YANG Jun. A Delayless Frequency-Domain Kalman Filter with Improved Tracking Capability for Acoustic Feedback Cancellation[J]. Acta Electronica Sinica, 2018, 46(8): 1954-1959.
DOI：

LU Cai-xia, YANG Fei-ran, YANG Jun. A Delayless Frequency-Domain Kalman Filter with Improved Tracking Capability for Acoustic Feedback Cancellation[J]. Acta Electronica Sinica, 2018, 46(8): 1954-1959. DOI： 10.3969/j.issn.0372-2112.2018.08.021.

摘要

分块的频域卡尔曼滤波算法收敛速度快、稳态失调误差低、算法内在延时小，但跟踪能力较差.本文分析了其跟踪速度慢的原因，并提出一种改进的基于分块频域卡尔曼滤波的啸叫抑制算法来解决该问题.我们还提出一种低复杂度的无延时算法来更高效地实现无延时结构.仿真实验证实了所提算法的优越性.

Abstract

The partitioned block frequency-domain Kalman filter (PBFDKF) is appealing due to its fast convergence speed

low steady-state misalignment and small inherent delay.However

the tracking ability of the PBFDKF is poor.In this paper

we firstly analyze the tracking performance of the PBFDKF and then we propose an improved PBFDKF-based adaptive feedback cancellation algorithm.Moreover

we present a new delayless implementation with lower complexities.Simulation results demonstrate the performance advantage of the proposed algorithm.

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