Performance Enhancement for Smart Antenna using ARLS Technique |
Author(s): |
| Parteesh Sharma , Swami vivekanandh institute of engineering and technology; Ms.Tanika Thakur, Swami vivekanandh institute of engineering and technology |
Keywords: |
| ARLMS, QR, Smart Antenna, ALS, Matrix Decomposition, RLS |
Abstract |
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Matrix decomposition refers to the transformation of a matrix into a canonical form. The purposes of matrix decomposition are analytic simplicity and computational convenience. As a result of the decomposition of the given matrix, the resulting matrices have lower-rank canonical form and this helps revealing the inherent characteristic and structure of the matrices and help interpreting their meaning. Adaptive Recursive Least mean squares(ARLMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal of the RLS algorithm to improve the overall beamforming of the smart antenna array. The system has also been simulated using MATLAB 2014Ra tool. |
Other Details |
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Paper ID: IJSRDV5I120287 Published in: Volume : 5, Issue : 12 Publication Date: 01/03/2018 Page(s): 371-374 |
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