Blind Symbol-Rate Estimation for Short and Bursty Communications

被引：1

作者：

Yang, Chaosan ^{[1
]}

Liu, Xiaobei ^{[2
]}

Guan, Yong Liang ^{[2
]}

Liu, Rongke ^{[3
]}

Qiu, Xin ^{[1
]}

Li, Jinhai ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Microelect, Beijing 100029, Peoples R China

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

[3] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2022年 / 71卷 / 11期

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

Blind parameter estimation; bursty communications; signal processing; discrete time Fourier transform (DTFT);

D O I：

10.1109/TVT.2022.3194270

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：

The design of a blind receiver for unsynchronized bursty communications is a challenging task, especially when the data burst duration is very short and the over-sampling ratio (OSR) at the receiver is a non-integer value. In this article, the problem of blind symbol-rate estimation for bursty communications is studied. A cyclostationary method with bias removal (CS-BR) is proposed to improve the accuracy of the "OSR peak " detection in cyclostationary method when the length of signal burst is very short. Factors which affect the accuracy of the proposed blind symbol-rate estimation are thoroughly analyzed. Both field measurement data simulations and Monte Carlo simulations show that by using our proposed CS-BR method, the accuracy of blind symbol-rate estimation can be significantly improved, and the root-mean-square-error of the estimated OSR can be reduced to as small as 10(-4) even if each short data burst consists of only tens of symbols.

引用

页码：12392 / 12396

页数：5

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