Adaptive Noise Cancellation using Modified Normalized Least Mean Square Algorithm

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2016 by IJETT Journal
Volume-34 Number-5
Year of Publication : 2016
Authors : Lalita Sharma, Dr. Rajesh Mehra
DOI :  10.14445/22315381/IJETT-V34P244


Lalita Sharma, Dr. Rajesh Mehra "Adaptive Noise Cancellation using Modified Normalized Least Mean Square Algorithm", International Journal of Engineering Trends and Technology (IJETT), V34(5),215-219 April 2016. ISSN:2231-5381. published by seventh sense research group

This paper presents an efficient design of Adaptive filters which uses enhanced NLMS algorithm for eliminating noise added by mean of various communication media or any other noise sources. By using the appropriate weights, Adaptive filter estimates and remove the estimated noise signal from the available information. LMS and Normalized LMS are two most efficient algorithm for noise cancelation. Normalized form of LMS algorithm is considered more effective as it normalizes with the power of the input. The concept of memory preallocation for variables has been introduced to enhance the computational speed of filtering system. The proposed algorithm is successfully implemented using M Code and performance measures like SNR and MSE are calculated for varying step size and filter order. The SNR value ranges from 8.26 dB to 7.22 dB and MSE ranges from 0.087 to 0.1173.


[1] Rui Guo and Linda S. De Brunner “Two High-Performance Adaptive Filter Implementation Schemes Using Distributed Arithmetic” IEEE Transactions on Circuits and Systems, Vol. 58, No. 9, pp. 600-604, September 2011.
[2] Rajesh Mehra and Rashmi Arora, “FPGA-Based Design of High-Speed CIC Decimator for Wireless Applications”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 2, No. 5, pp. 59-62, 2011.
[3] M. Surya Prakash and Rafi Ahamed Shaik, “Low-Area and High-Throughput Architecture for an Adaptive Filter Using Distributed Arithmetic” IEEE Transactions onCircuits and Systems, Vol. 60, No. 11, pp. 781-785, November 2013.
[4] Raj Kumari, Dr. Rajesh Mehra and Lalita Shrama, “Effective Adaptive Noise Canceller Design Using Normalized LMS”, IEEE Conference on NextGeneration Computing Technologies, pp. 571-575, September 2015.
[5] S. Haykin, “Adaptive Filter Theory”, Pearson Education Asia, 3rd Edition, pp. 324-414.
[6] Rajesh Mehra and Swapna Devi, “Efficient Hardware Co- Simulation of Down Convertor for Wireless Communication Systems”, International Journal of VLSI Design & Communication Systems ( VLSICS ), Vol. 1, No. 2, pp. 13-21, June 2010.
[7] Xueli Wu, Zizhong Tan, Jianhua Zhang and Wei Li, “Dual Adaptive Noise Cancellation Method Based on Least Mean M-Estimate of Noise”, IEEE Conference on Intelligent Control and Automation, China, pp. 5741-5746, July 2014.
[8] Rajesh Mehra, Garima Saini and Sukhbir Singh, “FPGA Based High Speed BCH Encoder for Wireless Communication Applications”, IEEE Conference on Communication Systems and Network Technologies, pp. 576- 579, 2011.
[9] S. Lakshmikanth, K.R. Natraj, K.R. Rekha, “Performance Analysis of Industrial Noise Cancellation with PSO Based Wiener Filter Using Adaptive LMS & NLMS”,IEEE International Conference on Communication and Signal Processing, pp. 363-368, April 2014.
[10] Bhawna Tiwari and Rajesh Mehra, “FPGA Implementation of FPGA Codec for Digital Video Broadcasting”, International Journal of Electrical, Electronics & Communication Engineering (IJEECE), Vol. 2, No. 2, pp. 68- 77, 2012.
[11] K. R. Borisagar, B. S. Sedani and G. R. Kulkarni, “Simulation and Performance Analysis of LMS and NLMS Adaptive Filters in Non stationary Noisy Environment”, IEEE Conference onComputational Intelligence and Communication Networks, pp. 682-686, 2011.
[12] S. C. Chan, Y. J. Chu and Z. G. Zhang, “A New Variable Regularized Transform Domain NLMS Adapti ve FilteringAlgorithm—Acoustic Applications and Performance Analysis”, IEEE Transactions on Audio,Speech, andLanguage Processing, Vol. 2, No. 4, pp. 868-878, 2013.

Adaptive Filters, LMS Algorithm, MSE, NLMS Algorithm, Noise Cancelation, SNR.