Affine-Projection Lorentzian Algorithm for Vehicle Hands-Free Echo Cancellation

Huang, Xinqi; Li, Yingsong; Zakharov, Yuriy; Li, Yibing; Chen, Badong

doi:10.1109/tvt.2021.3061126

Cited by 48 publications

(7 citation statements)

References 53 publications

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“…In addition, the adaptive interference suppression for PD radar can be considered using adaptive filtering [19][20][21][22][23][24][25][26][27][28] and sparse arrays [29][30][31].…”

Section: Simulation and Measurement Resultsmentioning

confidence: 99%

Speed Interference Suppression for PD Radar Based on Adaptive Dictionary

Zhang

et al. 2022

ACES Journal

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Random pulse initial phase (RPIP) signal is a kind of agility waveform which is commonly used in pulse Doppler (PD) radar. Although RPIP has the merit of restraining velocity deception jamming effectively, its efficiency is restricted under the condition of strong interference. To make the RPIP signal fully play the anti-jamming performance, this paper proposed a speed interference suppression method based on adaptive dictionar that separates the target echo from the strong jamming signal with good sparsity. First, the prior knowledge of strong interference signal is obtained by the technique of peak detection which is combined with the dual channel processing. Second, the quasi-Karhunen-Loeve transform (Q-KLT) basis of interference signal is constructed based on the prior knowledge, and the approximate Q-KLT basis of target signal is constructed by the way of dictionary learning, and those signals can be obtained from the adaptive dictionary by the algorithm of base tracking (BP). Finally, the effectiveness of the proposed method is verified by numerical simulation, which proves that the method can ensure a lower Doppler sidelobe in the strong interference scene, which confirmed that it has a good anti-velocity deception performance.

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“…In addition, the adaptive interference suppression for PD radar can be considered using adaptive filtering [19][20][21][22][23][24][25][26][27][28] and sparse arrays [29][30][31].…”

Section: Simulation and Measurement Resultsmentioning

confidence: 99%

Speed Interference Suppression for PD Radar Based on Adaptive Dictionary

Zhang

et al. 2022

ACES Journal

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“…Fig. 7 shows the general structure of adaptive echo cancellation, which covers the network echo cancellation [3], [4] and acoustic echo cancellation scenarios [142], [107]. In this scenario, the speech input signal u(n) from the far-end talker's is convoluted with the echo channel and the resulting signal d(n) is the annoying echo, where the network echo channel is due to mixed packetswitched and circuit-switched components (e.g., Fig.…”

Section: B Scenario 2: Network Echo Cancellationmentioning

confidence: 99%

Study of General Robust Subband Adaptive Filtering

Chen¹,

Zakharov²,

He³

et al. 2022

Preprint

Self Cite

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In this paper, we propose a general robust subband adaptive filtering (GR-SAF) scheme against impulsive noise by minimizing the mean square deviation under the random-walk model with individual weight uncertainty. Specifically, by choosing different scaling factors such as from the M-estimate and maximum correntropy robust criteria in the GR-SAF scheme, we can easily obtain different GR-SAF algorithms. Importantly, the proposed GR-SAF algorithm can be reduced to a variable regularization robust normalized SAF algorithm, thus having fast convergence rate and low steady-state error. Simulations in the contexts of system identification with impulsive noise and echo cancellation with double-talk have verified that the proposed GR-SAF algorithms outperforms its counterparts.

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“…The scheme proposed by Fukui et al not only improves the estimation accuracy of the acoustic coupling level, but also reduces the residual echo using an efficient post-filter based on this estimated level [ 12 ]. Many algorithms to control the adaptive filter coefficient have been proposed in [ 6 , 16 , 35 ]. The central concepts of these algorithms include the minimum mean square error criterion [ 6 ], affine projection [ 16 ], and various popular objective functions [ 35 ], e.g., least squares, weighted least squares, and mean absolute error.…”

Section: Audio Processing Issuesmentioning

confidence: 99%

“…Many algorithms to control the adaptive filter coefficient have been proposed in [ 6 , 16 , 35 ]. The central concepts of these algorithms include the minimum mean square error criterion [ 6 ], affine projection [ 16 ], and various popular objective functions [ 35 ], e.g., least squares, weighted least squares, and mean absolute error. A real-time AEC algorithm based on variable step-size partitioned block frequency-domain adaptive filtering and frequency-domain nonlinear echo processing algorithm is proposed for hands-free voice communication devices [ 33 ].…”

Section: Audio Processing Issuesmentioning

confidence: 99%

CoMAC: A cooperation-based multiparty audio conferencing system for mobile users

Wang

Chen

Sheu

2022

Multimed Tools Appl

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The existing architectures used in the multiparty audio conferencing systems are typically categorized as either centralized or decentralized. These architectures expose a trade-off between processing latency and system capacity, namely the number of participants. This paper proposes a multiparty audio conferencing system for mobile users to improve the processing latency and system capacity. Instead of using the pure centralized or decentralized architecture, the proposed system adopts a novel cooperation-based architecture, in which only some participants are selected as the central controllers to deal with the tasks such as acoustic echo cancellation, encoding, decoding, mixing and de-mixing. The proposed system also uses a buffer reordering scheme to solve the problems of network jitters and out-of-order packets. This study analyzed the processing latency of the multiparty audio conferencing systems using the existing and proposed architectures. We also implemented these systems on diverse mobile platforms to compare the processing latency and number of participants. Performance evaluation results confirmed that the proposed cooperation-based architecture can not only reduce the processing latency but also support more participants, compared to the existing architectures.

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Affine-Projection Lorentzian Algorithm for Vehicle Hands-Free Echo Cancellation

Cited by 48 publications

References 53 publications

Speed Interference Suppression for PD Radar Based on Adaptive Dictionary

Speed Interference Suppression for PD Radar Based on Adaptive Dictionary

Study of General Robust Subband Adaptive Filtering

CoMAC: A cooperation-based multiparty audio conferencing system for mobile users

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