Reduced-complexity synchronization for high-order coded modulations

This paper focuses on phase noise-impaired communications. An efficient Maximum A-posteriori Probability (MAP) iterative synchronization algorithm, where detection and decoding are performed separately from phase estimation, is proposed. This approach has the following key advantages: (i) its comput...

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Bibliographic Details
Published in2015 IEEE International Conference on Communications (ICC) pp. 4721 - 4726
Main Authors Martalo, M., Ferrari, G., Asim, M., Gambini, J., Mazzucco, C., Cannalire, G., Bianchi, S., Raheli, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
Channel estimation
Decoding
Delays
Encoding
Iterative decoding
Maximum A Posteriori (MAP) receiver
Phase estimation
Phase noise suppression
synchronization
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Summary:This paper focuses on phase noise-impaired communications. An efficient Maximum A-posteriori Probability (MAP) iterative synchronization algorithm, where detection and decoding are performed separately from phase estimation, is proposed. This approach has the following key advantages: (i) its computational complexity is relatively low and its performance is near optimal; (ii) it requires very limited statistical knowledge of the phase noise process; and (iii) it enables the direct use of "off-the-shelf" demodulation and decoding blocks. These features are particularly attractive from the implementation viewpoint, as they lead to the design of effective pragmatic high-order coded modulated schemes. The proposed iterative synchronization and decoding algorithm, evaluated for Low-Density Parity-Check (LDPC)-coded pilot symbol-assisted Quadrature Amplitude Modulation (QAM) schemes, entails a negligible energy efficiency loss with respect to optimized joint decoding and phase estimation approaches, with significantly lower computational complexity.
ISSN:1550-3607
1938-1883
DOI:10.1109/ICC.2015.7249069