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3 January 2020 Code-aided carrier phase synchronization algorithm for non-binary LDPC-CPM system
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Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 1137335 (2020) https://doi.org/10.1117/12.2557492
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China
Abstract
The non-binary low density parity check coded continuous phase modulation (LDPC-CPM) system improves the reliability and effectiveness of the digital signal transmission by relying on the error-correcting performance of nonbinary LDPC code and the spectral efficiency of high-order CPM. However, due to the channel interference during transmission and the phase jitter of local oscillator at the receiving end, the introduced carrier phase offset will drastically deteriorate the system performance. In order to solve the above problem, combining the output characteristic of LDPC iterative decoding, this paper studies the code-aided carrier phase synchronization algorithm suitable for nonbinary LDPC-CPM system, the basic idea is to use the decoding soft information to aid the synchronization parameter estimation, and carrier phase correction of the system is accomplished by joint iteration of synchronizer, demodulator and decoder. Theoretical research and simulation results show that under low signal-to-noise ratio (SNR) conditions, the code-aided synchronization algorithm for non-binary LDPC-CPM system solves the problem that the traditional codeaided synchronization algorithm cannot be applied to M-ary CPM signal, so that it can achieve effective carrier phase synchronization in the large phase offset range and obtain approximate ideal system performance at the cost of low system complexity.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianchao Yang, Jingpeng Gao, and Xiaolin Liu "Code-aided carrier phase synchronization algorithm for non-binary LDPC-CPM system", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137335 (3 January 2020); https://doi.org/10.1117/12.2557492
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