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Development and Implementation of an Adaptive Error Correction Coding Scheme for a Full Duplex Communications Channel

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Part of the book series: The International Series in Engineering and Computer Science ((SECS,volume 536))

Abstract

This paper investigates via simulation, the bit error probability (BEP) associated with a variable redundancy coding scheme operating in a wireless environment. Within a slowly varying(flat fading) Rayleigh channel, this algorithm provides increased throughput over fixed coding implementations. From a family of BCH codes of the same block length (n=63), a code with appropriate redundancy is chosen depending on the receiver’s estimation of the current conditions experienced in this channel. Two different decision techniques are compared. The first method statistically evaluates the receiver’s input and calculates the signal to noise ratio (Eb/No), while the second method observes the number of corrected errors in recently decoded blocks. Once deciding to modify the correction ability of the code, the decoder transmits the decision to the encoder over a low bandwidth feedback channel, allowing the correction ability to be changed on a block by block basis. This algorithm is implemented in software, and therefore can be optimized for many real world communications systems. The low cost of high speed microprocessors and DSPs allow for the development of a robust adaptive coding system in hardware. The results are compared against fixed coding implementations and show that the adaptive process maintains a better efficiency (η = k/n) of information rate while keeping the bit error probability near the level obtained by maximum encoding.

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© 2000 Kluwer Academic Publishers

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Waterston, J.W., Wooten, C., Bennett, W., Welch, T.B. (2000). Development and Implementation of an Adaptive Error Correction Coding Scheme for a Full Duplex Communications Channel. In: Tranter, W.H., Woerner, B.D., Rappaport, T.S., Reed, J.H. (eds) Wireless Personal Communications. The International Series in Engineering and Computer Science, vol 536. Springer, Boston, MA. https://doi.org/10.1007/0-306-47010-1_21

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  • DOI: https://doi.org/10.1007/0-306-47010-1_21

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7705-4

  • Online ISBN: 978-0-306-47010-3

  • eBook Packages: Springer Book Archive

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