Symbol Rate Estimation for CPM Signal Based on Discrete Wavelet Decomposition and Frequency Ridge Analysis

被引：0
|
作者：
Liu Q.-H. [1 ]
Li T.-Y. [1 ]
Wang B. [1 ]
Xu M.-K. [1 ]
Qiu Z.-Y. [1 ]
机构：
[1] PLA Strategic Support Force Information Engineering University, Zhengzhou, 450001, Henan
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2020年 / 48卷 / 03期
关键词：
Continuous phase modulation; Frequency ridge extraction; Signal decomposition; Symbol rate estimation; Time-frequency analysis; Wavelet transform;
D O I：
10.3969/j.issn.0372-2112.2020.03.008
中图分类号：
学科分类号：
摘要：
In the case of non-cooperative reception, blind estimation for the symbol rate estimation of continuous phase modulation (CPM) signals is usually one of the difficulties in signal analysis due to the varied signal specification.Most of the existing algorithms are based directly on instantaneous frequency or cyclostationarity, which have poor anti-noise performance and are not suitable for multi-h CPM signals.By analyzing the advantages of wavelet transform in signal decomposition and time-frequency analysis, a new algorithm based on discrete wavelet transform (DWT) and frequency ridge extraction is proposed to estimate the symbol rate of CPM signal.Comparative analysis of the algorithm shows that the proposed method has better performance in condition of the low signal to noise ratio (SNR) and small data volume. © 2020, Chinese Institute of Electronics. All right reserved.
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页码：470 / 477
页数：7
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