Performance Of LMS Algorithm Research Articles

A Modified Algorithm Based on Decoration VSSLMS

To improve the performance of LMS algorithm ,a modified algorithm is proposed .decoration is used and orthogonal vectors is applied to replace weigh of the filter ,forgetting factor is also introduced to control the step .A new model is built and experiment show that convergence speed is improved and steady-state error is reduced. The performance is improved.

Adaptive Interference Cancellation Using CMA-Correlation Normalized LMS for WCDMA System

In this article, we proposed a new interference canceller using the adaptive algorithm. We designed constant modulus algorithm-correlation normailized least mean square (CMA-CNLMS) for wireless system. This structure is normalized LMS algorithm using correlation between the desired and input signal for cancelling the interference signals in the wideband code division multiple access (WCDMA) system. We showed that the proposed algorithm could improve the Mean Square Error (MSE) performance of LMS algorithm. MATLAB (Matrix Laboratory) is employed to analyze the proposed algorithm and to compare it with the experimental results. The MSE value of the LMS with mu=0.0001 was measured as - 12.5 dB, and that of the proposed algorithm was -19.5 dB which showed an improvement of 7dB.

Performance of LMS algorithm as a function of input signal pole loci

The degree to which the performance of the adaptive LMS transversal filter depends on the ratio of the extreme eigen-values of the input autocorrelation matrix is investigated. Subsequently, performance is related to the spectral properties of the input signal via a study of the relationship between the eigenvalues and the loci of the poles characterising the input signal.