Abstract
The objective is to present a practical method of implementing a beamforming module with a general-purpose digital signal processor. The proposed module provides a beam-pattern that has its maximum gain along the direction of a target mobile subscriber using real-time processing. The new technique utilizes a modified CGM (conjugate gradient method) in such a way that the suboptimal gain vector of the array is obtained from the solution of an eigenvalue problem. The solution is carried out at every snapshot upon the arrival of a new signal vector. By decomposition at the autocorrelation matrix of the array inputs, the computational load of the conventional CGM, i.e., O(3N2 + 12N), has been reduced significantly to the order of O(16N) in the proposed technique, where N denotes the number of antenna elements of the array. The performance of the proposed system is evaluated utilizing three different criteria; first, the execution speed for the implemented beam-former to trace the target subscriber; second, the BER (bit error rate) as a function of a given signal-to-noise ratio; and finally, the achievable capacity of the cell as a function of required BER.
Original language | English (US) |
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Pages (from-to) | 105-119 |
Number of pages | 15 |
Journal | Digital Signal Processing: A Review Journal |
Volume | 7 |
Issue number | 2 |
DOIs | |
State | Published - Apr 1997 |
ASJC Scopus subject areas
- Artificial Intelligence
- Signal Processing
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Statistics, Probability and Uncertainty
- Computational Theory and Mathematics