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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2019

15.09.2018

Performance Analysis of MSFRLS-VFF Based Real-Time Adaptive Noise Canceller with RLS and APA Algorithms Using TMS320C6713 Processor

verfasst von: Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra, Bishwajeet Pandey

Erschienen in: Wireless Personal Communications | Ausgabe 4/2019

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Abstract

In this paper, the real-time adaptive noise canceller (ANC) system is implemented using modified sigmoid function variation based recursive least square with variable forgetting factor (MSFRLS-VFF) algorithm. The experiment is performed on DSP TMS320C6713. The performance of MSFRLS-VFF algorithm is evaluated and comparison is made with conventional RLS and affine projection algorithm (APA). In the experimental setup, the different types of noises are artificially added into the clean signals to make the signal noisy at different input SNR levels (− 5 dB to 10 dB). The result shows that MSFRLS-VFF algorithm provides superior performance than RLS and APA algorithm (the best performance achieved for SNR improvement is 2.2 dB over RLS and 2.1 dB over APA at − 5 dB input SNR with filter order 10). Also, the MSFRLS-VFF algorithm provides minimum mean square error than RLS and APA algorithms, however computational complexity of APA algorithm is less as compared to MSFRLS-VFF and RLS algorithms. The output error-free signal obtained after MATLAB simulation and from TMS320C6713 DSP shows the similar result that proves the correctness of the setup.
Vorheriger Artikel SNR- Versus Rate-Based Proportional Fair Scheduling in Rayleigh Fading Channels
Nächster Artikel Visual Speech Recognition Using Optical Flow and Hidden Markov Model

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Metadaten
Titel
Performance Analysis of MSFRLS-VFF Based Real-Time Adaptive Noise Canceller with RLS and APA Algorithms Using TMS320C6713 Processor
verfasst von
Deepak Kumar Gupta
Vijay Kumar Gupta
Mahesh Chandra
Bishwajeet Pandey
Publikationsdatum
15.09.2018
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5929-5

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