Performance Analysis of Energy Metrics for Viterbi Soft Decoding Algorithm Based on M-FSK Signal

Dong Bin-hong; Tang Peng; Du Yang; Zhao Yan

doi:10.11999/JEIT141532

Volume 37 Issue 8

Aug. 2015

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Dong Bin-hong, Tang Peng, Du Yang, Zhao Yan. Performance Analysis of Energy Metrics for Viterbi Soft Decoding Algorithm Based on M-FSK Signal[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1920-1925. doi: 10.11999/JEIT141532

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Dong Bin-hong, Tang Peng, Du Yang, Zhao Yan. Performance Analysis of Energy Metrics for Viterbi Soft Decoding Algorithm Based on M-FSK Signal[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1920-1925. doi: 10.11999/JEIT141532

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Performance Analysis of Energy Metrics for Viterbi Soft Decoding Algorithm Based on M-FSK Signal

doi: 10.11999/JEIT141532

Received Date: 2014-12-02
Rev Recd Date: 2015-03-03
Publish Date: 2015-08-19

Abstract

Abstract

The Viterbi decoding algorithm is widely used in the wireless digital communication system, generally using the bit Log-Likelihood Ratio (LLR) as its input. For an M-ary Frequency Shift Keying (M-FSK) signal, a corresponding Viterbi decoding algorithm by directly adopting the M-dimensions energy information of the signal demodulation as the decoder branch metrics is proposed. This paper analyzes the theoretical performance of the proposed algorithm in the AWGN and the Rayleigh fading channels, and the upper bound for closed-form expressions of the Bit Error Rate (BER) performance are derived. The validity of the theoretical derivation is demonstrated by the simulations. Compared with the existing Viterbi algorithm, the proposed scheme can avoid the computing of the bit LLR and the branch metric, also it can descend the complex of the algorithm and decrease the loss of the information, improve the BER performance in the presence of Viterbi decoding algorithm which based on the M-FSK signal soft demodulation. Thus, the proposed scheme is a Viterbi decoding algorithm that is more adaptive to the actual project based on the M-FSK signal.
- Viterbi decoding,
- Bit Log-Likelihood Ratio (LLR),
- Energy metrics,
- M-ary Frequency Shift Keying (M-FSK),
- Bit Error Rate (BER)

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References(18)

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