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Publication Detail
Effects of decoding depth on the performance of the modified feedback decoding algorithm for convolutional codes
  • Publication Type:
  • Authors:
    Tomatsopoulos BV, Demosthenous A
  • Publisher:
    Communications Engineering Doctorate Centre, Department of Electronic and Electrical Engineering, University College London
  • Publication date:
  • Place of publication:
    London, UK
  • Published proceedings:
    London Communications Symposium: University College London, 8th-9th September 2003: The Annual London Conference on Communications
  • ISBN-10:
  • Status:
  • Language:
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This paper presents further system level simulation results on the coding performance of the modified feedback decoding algorithm (MFDA) for various rate-1/2 convolutional codes and decoding depths. Results show that the MFDA compares very favourably to a best-state implementation of the Viterbi algorithm (VA), thus requiring only a decoding depth of about three to four times the constraint length of the code. However, unlike the VA, the MFDA may be realized using almost entirely analogue circuits. This offers the potential for the construction of low-power, low-complexity decoders for portable systems with moderate data rate requirements.
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