FUZZY LOGIC BASED CONVOLUTIONAL DECODER FOR USE IN MOBILE TELEPHONE SYSTEMS
Efficient convolutional coding and decoding algorithms are most crucial to successful operation of wireless communication systems in order to achieve high quality of service by reducing the overall bit error rate performance. A widely applied and well evaluated scheme for error correction purposes is well known as Viterbi algorithm [7]. Although the Viterbi algorithm has very good error correcting characteristics, computational effort required remains high. In this paper a novel approach is discussed introducing a convolutional decoder design based on fuzzy logic. A simplified version of this fuzzy based decoder is examined with respect to bit error rate (BER) performance. It can be shown that the fuzzy based convolutional decoder here proposed considerably reduces computational effort with only minor BER performance degradation when compared to the classical Viterbi approach.
Summary
This 2000 paper introduces a fuzzy-logic-based convolutional decoder as a lower-complexity alternative to the Viterbi algorithm for mobile telephone systems. Readers will learn how a simplified fuzzy decoder is constructed and how its bit error rate (BER) and computational-effort tradeoffs compare to conventional decoding in mobile channels.
Key Takeaways
- Compare BER performance of the proposed fuzzy-logic decoder with the Viterbi algorithm under mobile channel conditions.
- Estimate and quantify computational complexity savings achievable by a simplified fuzzy decoding rule set.
- Design fuzzy membership functions and rule mappings to convert soft decision metrics into decoding decisions.
- Evaluate feasibility of deploying fuzzy decoders in real-time mobile receiver implementations.
Who Should Read This
Wireless communications engineers and researchers with some experience in channel coding and soft-decision decoding who are exploring lower-complexity decoding methods for mobile systems.
Still RelevantIntermediate
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