Simplified Noncoherent MAP Decoding Algorithm Based on SCCC Structure

Cao Min; Yin  Hong; Wang  Guo-Dong; Li Ji-Ping

doi:10.3724/SP.J.1146.2009.01156

Volume 32 Issue 10

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2010 > 32(10): 2526-2530

Cao Min, Yin Hong, Wang Guo-Dong, Li Ji-Ping. Simplified Noncoherent MAP Decoding Algorithm Based on SCCC Structure[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2526-2530. doi: 10.3724/SP.J.1146.2009.01156

Citation:

Cao Min, Yin Hong, Wang Guo-Dong, Li Ji-Ping. Simplified Noncoherent MAP Decoding Algorithm Based on SCCC Structure[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2526-2530. doi: 10.3724/SP.J.1146.2009.01156

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Simplified Noncoherent MAP Decoding Algorithm Based on SCCC Structure

doi: 10.3724/SP.J.1146.2009.01156

Cao Min^{①② 尹虹
,},
Yin Hong,
Wang Guo-Dong,
Li Ji-Ping

Received Date: 2009-09-01
Rev Recd Date: 2010-05-27
Publish Date: 2010-10-19

Abstract

Abstract

Differential encoding used in conjunction with sequence decoding is a primary method to implement high performance noncoherent demodulation. Though noncoherent decoding based on SCCC with differential encoding is almost similar to coherent demodulation in performance, its high decoding complexity makes its engineering application difficult because of the introduction of modified zero-order Bessel function to estimate the channel transition probability. To solve this problem, two simplified noncoherent MAP decoding algorithms based on SCCC structure are proposed in this paper. These algorithms use an approximate formula of zero-order Bessel function to simplify the branch metrics in log-MAP algorithm of inner decoder. Theoretical analysis and simulation results show that the proposed algorithms can largely reduce the decoding computational complexity and have good performance.
- Differential encoding,
- Serially Concatenated Convolutional Code (SCCC),
- MAP algorithm,
- Noncoherent demodulation

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References(1)

References

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