Recovery of High Order Statistics of PSK Signals Based on Low-Rank Matrix Completion

Recovery of High Order Statistics of PSK Signals Based on Low-Rank Matrix Completion

High order statistics are useful for automatic modulation recognition and parameter estimations. In this paper, we cast the problem of recovering high order statistics of PSK signals taken from nonuniform compressive samples as a one of recovering a low-rank matrix from missing or corrupted observat...

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Bibliographic Details
Main Authors: Zhengli Xing, Jie Zhou, Zhan Ge, Guanqin Huang, Maohai Hu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Compressed Sensing
high order statistics
low-rank matrix completion
modulation recognition
parameter estimations
PSK signals
Online Access:https://ieeexplore.ieee.org/document/10032503/

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