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Performance Evaluation of Beamforming Algorithm with Jacket Matrix Based Eigenvalue Decomposition

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2 Author(s)
Md. Hashem Ali Khan ; Div. of Electron. & Inf. Eng., Chonbuk Nat. Univ., Jeonju, South Korea ; Moon Ho Lee

In this paper, we have evaluated the performance of Beam forming algorithm for uncoded signal with and without Jacket Matrix based eigenvalue decomposition. First, the channel matrix has been converted to the Jacket form according to the Jacket matrix transformation and the eigenvalue is calculated. Eigenvalues are used to calculate the weight matrix. Finally, weight matrix is used for transmit signal with adaptive white Gaussian noise. The experimental result shows that the jacket matrix based eigenvalue decomposition performs better than normal decomposition.

Published in:

Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on

Date of Conference:

10-12 Oct. 2012