Automatic Modulation Recognition of PSK Signals with Sub-Nyquist Sampling Based on High Order Statistics
Information Theory
2015-01-05 v1 math.IT
Abstract
Sampling rate required in the Nth Power Nonlinear Transformation (NPT) method is typically much greater than Nyquist rate, which causes heavy burden for the Analog to Digital Converter (ADC). Taking advantage of the sparse property of PSK signals' spectrum under NPT, we develop the NPT method for PSK signals with Sub-Nyquist rate samples. In this paper, combined the NPT method with Compressive Sensing (CS) theory, frequency spectrum reconstruction of the Nth power nonlinear transformation of PSK signals is presented, which can be further used for AMR and rough estimations of unknown carrier frequency and symbol rate.
Keywords
Cite
@article{arxiv.1501.00158,
title = {Automatic Modulation Recognition of PSK Signals with Sub-Nyquist Sampling Based on High Order Statistics},
author = {Zhengli Xing and Jie Zhou and Jiangfeng Ye and Jun Yan and Jifeng Zou and Lin Zou and Qun Wan},
journal= {arXiv preprint arXiv:1501.00158},
year = {2015}
}
Comments
7 pages, 8 figures, submitted to IEEE International Symposium on Signal Processing and Information Technology