Pattern Based Communication System and Its Performance Characteristics Compared to the Matched Filtering
Abstract
Problem Statement: Pattern Based Communication System (PBCS) aims to handle two prominent restrictions in communication lines. These are the inefficient utilization of the bandwidth under the spectrum limitations and sensitivity of the data transmission rate to the variation of Signal to Noise Ratio (SNR). Approach: The key point of PBCS is to construct the optimal communication signals, which consist of patterned data that can be recovered by the cognitive receiver, for a successful data transmission even in low SNR and high data bit rate. Result: In this study, performance of the PBCS is evaluated by the comparison with Matched Filtering (MF). Conclusion: This comparison shows that transmission performance of the PBCS is higher than MF due to its dynamic and flexible operation capability under variation of spectral conditions.
DOI: https://doi.org/10.3844/jcssp.2011.12.16
Copyright: © 2011 Ozgur Orcay and Berk Ustundag. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Artificial neural network
- cognitive radio
- noise immunity
- pattern recognition
- spectrum management