Blind symbol rate estimation based on BPF bank

被引：3
|
作者：
Shen, Chuankui [1 ]
Ye, Terry [1 ]
机构：
[1] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
来源：
DIGITAL SIGNAL PROCESSING | 2020年 / 100卷
关键词：
Signal analysis; Parameter estimation; Electronic countermeasures; Bandpass filter; Real-time signal processing;
D O I：
10.1016/j.dsp.2020.102698
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Conventional real-time symbol rate estimation algorithm is based on the Fourier transform of the signal complex envelope. While this method is economic in resource consumption, its performance deteriorates at low signal-to-noise ratio (SNR), especially for the short burst signal applications. In this paper, we propose a novel method of using bandpass filter (BPF) bank to improve short burst signal's symbol rate estimation performance at low SNR or ratio of symbol energy to noise power spectral density (EsNo), equivalently. Simulation results show that our proposed algorithm can efficiently estimate symbol rate by using 200 symbols at 4 dB EsNo. (C) 2020 Elsevier Inc. All rights reserved.
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收藏
页数：8
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