Paper Application of Partial Coefficient Update LMS Algorithm to Suppress Narrowband Interference in DSSS System

Transform Domain LMS is discussed in this paper and a partial coefficient update LMS adaptive algorithm (P-LMS) is proposed to suppress narrowband interference in DSSS system. In the new algorithm, it only updates a portion of the coefficients of the adaptive filter, so it reduces a lot of computation. It is convenient to implement on FPGA/DSP. The algorithm also has faster convergence speed and little steady state error. The algorithm is applied to the DSSS system to suppress narrowband interference system and it works very well. Computer simulation results confirm the theoretical analysis.

[1]  Scott C. Douglas,et al.  Performance comparison of two implementations of the leaky LMS adaptive filter , 1997, IEEE Trans. Signal Process..

[2]  T. Aboulnasr,et al.  A robust variable step size LMS-type algorithm: analysis and simulations , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[3]  J. C. Tressler,et al.  Fourth Edition , 2006 .

[4]  Simon Haykin,et al.  Adaptive Filter Theory 4th Edition , 2002 .

[6]  Scott C. Douglas,et al.  Adaptive filters employing partial updates , 1997 .

[7]  Tyseer Aboulnasr,et al.  Selective coefficient update of gradient-based adaptive algorithms , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .

[9]  Zhang Er-yang Exponential Distribution-based Research on Narrowband Interference Suppression in DSSS Communication Systems , 2005 .

[10]  Hiroshi Yasukawa,et al.  Acoustic echo canceller with high speech quality , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[11]  Raymond H. Kwong,et al.  A variable step size LMS algorithm , 1992, IEEE Trans. Signal Process..

[12]  W. Y. Chen,et al.  A variable step size LMS algorithm , 1990, Proceedings of the 33rd Midwest Symposium on Circuits and Systems.

[13]  J. Mazo,et al.  On the design of gradient algorithms for digitally implemented adaptive filters , 1973 .

[14]  Tyseer Aboulnasr,et al.  A robust variable step-size LMS-type algorithm: analysis and simulations , 1997, IEEE Trans. Signal Process..

[15]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .