Frequency-Domain Adaptive Kalman Filter With Fast Recovery of Abrupt Echo-Path Changes | IEEE Journals & Magazine | IEEE Xplore

Frequency-Domain Adaptive Kalman Filter With Fast Recovery of Abrupt Echo-Path Changes


Abstract:

The frequency-domain Kalman filter (FDKF) was successfully applied in echo-cancelation systems due to its fast initial convergence and robustness to double-talk. However,...Show More

Abstract:

The frequency-domain Kalman filter (FDKF) was successfully applied in echo-cancelation systems due to its fast initial convergence and robustness to double-talk. However, the reconvergence ability of the FDKF was not comprehensively resolved and analyzed in the literature. This letter presents the steady-state solutions of the predicted system distance and corresponding step size of the FDKF, which is found to be related to the signal-to-noise ratio and the transition parameter. On this basis, it is pointed out that a frequently observed slow reconvergence of the FDKF, when the sudden echo-path change occurs, can be mainly attributed to the over-estimated noise power spectral density. Finally, we propose a shadow filter approach to resolve the algorithm's lack of reconvergence. Computer simulations of acoustic echo cancelation confirm the improved performance of the proposed method.
Published in: IEEE Signal Processing Letters ( Volume: 24, Issue: 12, December 2017)
Page(s): 1778 - 1782
Date of Publication: 22 June 2017

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