期刊论文详细信息
EURASIP Journal on Advances in Signal Processing
Blind estimation of modulation parameters for PCMA signals using frame cyclic features
Research
Tianyun Li1  Xiong Zha1  Fang Li1  Zhaoyang Qiu1 
[1] Institute of Information System Engineering, Information Engineering University, Zhengzhou, China;
关键词: PCMA;    Blind receiver;    SVD;    Frame cyclic features;    Parameters estimation;   
DOI  :  10.1186/s13634-023-01055-6
 received in 2023-03-09, accepted in 2023-09-12,  发布年份 2023
来源: Springer
PDF
【 摘 要 】

Blind receiver technologies for paired carrier multiple access (PCMA) signals have always been a challenging task with many technical difficulties, among which the estimation of modulation parameters is a fundamental but important element. Despite some achievements in previous studies, more systematic and sophisticated estimation methods have not been adequately investigated. In this paper, schemes for the blind estimation of the symbol timing phase, amplitude attenuation, frequency offset, and carrier phase for PCMA signals in satellite communications are proposed. The data flow transmitted in satellite communication often has a certain frame structure, the most important of which is the synchronization data, namely the so-called cycle features. The proposed schemes assume that the modulated signals have fixed frame length and frame sync code and that the symbol rate has been estimated when the signals are encoded asynchronously. Distinct from the previous methods, our schemes exploit the sync waveform and the overlapping waveform, which are estimated via singular value decomposition (SVD) (using the frame cyclic features) and interference cancelation, together with their demodulation results as aid data, for the estimation of the desired parameters. The simulation results demonstrate that the schemes are effective in the parameters estimation of PCMA signals and outperform the comparison algorithms.

【 授权许可】

CC BY   
© Springer Nature Switzerland AG 2023

【 预 览 】
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