A simple and least complex KV transform coding technique with low BER performance at low Eb/No for multi-tiered applications in power and bandwidth constrained MANET/sensor networks

  • Authors:

  • D. R. Vaman;S. T. Koay;A. Annamalai;N. Agarwal

  • Affiliations:

  • ARO Center for Battlefield Communications Research, Department of Electrical and Computer Engineering, Prairie View A&M University, Texas A&M University System, Prairie View, Texas;ARO Center for Battlefield Communications Research, Department of Electrical and Computer Engineering, Prairie View A&M University, Texas A&M University System, Prairie View, Texas;ARO Center for Battlefield Communications Research, Department of Electrical and Computer Engineering, Prairie View A&M University, Texas A&M University System, Prairie View, Texas;ARO Center for Battlefield Communications Research, Department of Electrical and Computer Engineering, Prairie View A&M University, Texas A&M University System, Prairie View, Texas

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

This paper presents a novel idea of Koay-Vaman (KV) Transform coding technique which is based on block coding technique. It provides the ability to detect errors, correct errors and identifies the remaining block error in each of the transmission ensembles. Exploiting this property will allow design of bandwidth efficient MANET and sensor networks to support provisioning of multi-service applications. Moreover, KV Transform technique permits recovery of end user information at low Eb/NO which is typically observed in a heavy multi-path fading environment, which is suitable for both in-door and out-door real time applications. It addresses the challenges of MANETs that require bandwidth and power efficiency, Quality of Service (QoS) provisioning of multi-services and scalability. KV transform technology is based on discrete sample orthogonal and invertible transform using time-frequency variation analysis. This paper presents BER performance (-7) on Rayleigh fading channel using the proposed KV transform technique with sample error correction, single selective retransmission of blocks that are in error and sample interleaving at very low Eb/No.