Improved Zadoff-Chu Sequence Detection in the Presence of Unknown Multipath and Carrier Frequency Offset

被引：14
|
作者：
Tao, Jun [1 ,2 ]
Yang, Le [3 ]
机构：
[1] Southeast Univ, Minist Educ, Key Lab Underwater Acoust Signal Proc, Nanjing 210096, Jiangsu, Peoples R China
[2] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[3] Jiangnan Univ, Sch Internet Things IoT Engn, Wuxi 214122, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Carrier frequency offset (CFO); generalized likelihood ratio test (GLRT); multipath; preamble detection; Zadoff-Chu (ZC) sequence;
D O I：
10.1109/LCOMM.2018.2817196
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This letter re-examines the problem of detecting the Zadoff-Chu sequence in the context of the Long Term Evolution system. The realistic scenario where the received preamble is subject to unknown multipath and carrier frequency offset (CFO) is considered. The impacts of the multipath and CFO on the correlation result are analyzed. Based on the analysis, a generalized likelihood ratio test detector exploiting collectively the multipath energy and the leaked energy due to the presence of the CFO is proposed. Simulations show the developed detector significantly outperforms the conventional peak detector.
引用
收藏
页码：922 / 925
页数：4
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