The Design of Adaptive Noise Cancellation Filter Based on DSP Chip

Abstract:

The speech signal usually could not be extracted correctly from the digital speech communication system with strong interference. As for this kind of system, the common fixed coefficient digital filters (FIR, IIR) are unable to achieve the best effect of filtering. Whereas the adaptive filter could extract the available signals properly by adjusting the filter coefficient automatically without knowing the change characteristics of the noise signal. In this paper, we designed an adaptive noise cancellation filter based on LMS algorithm on the DSP chip and verification of the filter was done on the TMS320C5509 platform. The results show that the adaptive noise cancellation designed in this paper could extract the available signals properly and improve the quality of the speech communication.

• Periodical: Advanced Materials Research (Volumes 971-973)
• Pages: 1786-1790
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.971-973.1786
• Online since: June 2014
• Authors: Xiu Min Wang*, Ting Ting Li, Liang Shan
• Keywords: Adaptive Filter, Adaptive Signal Processing, DSP, LMS

References

[1] Quanzhen Huang, Jincong Yi,  Hengyu Li, Xiaohua Wang. Algorithm Analysis of Adaptive Active Vibration Control Based on Recursive Least Squares[J]. Journal of Computer Applications. Vol. 33 (2013), pp.2643-2646, 2666.

DOI: 10.3724/sp.j.1087.2013.02643

[2] N J Bershad. Analysis of the Normalized LMS Algorithm with Gaussian Inputs[J]. IEEE Trans. Acoust. Speech Signal Processing (S0096-3518). Vol. 34 (1996), pp.793-806.

DOI: 10.1109/tassp.1986.1164914

[3] Quanlu Jiang, Lixin Wang, Yongjia Lv, Yubin Wu, Jun Ye. Design of Adaptive Filter Based on LMS [J]. Electronic Design Engineering. Vol. 19 ( 2011), pp.67-69.

[4] Zhancai Jiang, Li Yang. Two New Algorithms of Adaptive Speech Enhancement[J]. Computer Engineering and Science. Vol. 35 ( 2013), pp.173-179.

[5] Wei Zhao, Yutian Lu. Comparison of Noise Filtering Simulations Based on Adaptive Algorithms[J]. Journal of Communication University of China Science and Technology. Vol. 20 (2013), pp.40-46.

[6] Kun Wang. The FIR Digital Filter Design Based on the DSP[J]. Manufacturing Automation. Vol. 34 (2012), pp.147-149.

[7] Ning Gao, Enrang Zheng, Lingkun Ma, Haibo Yan. Research on Adaptive Noise Cancellation System with Neural Network[J]. Computer Simulation. Vol. 27 (2010), pp.134-137.

[8] Jing Wen, Yumei Wen, Ping Li. Adaptive Noise Cancellation Method Based on Error Whitening Criterion[J]. Chinese Journal of Scientific Instrument. Vol. 31 (2010), pp.1693-1698.

[9] Guanghui Xu, Guangrui Hu. SVD-based Nonlinear Approach for Suppressing Narrow - Band Interference[J]. Communications Technology. (2003), pp.22-23.