@inproceedings{cc85ab8822b94a1b821a2469d15ff880,
title = "Millimeter Wave Compressive Path Tracking with Carrier Frequency Offset",
abstract = "Compressive scanning (CS) has exhibited its potential in improving the path tracking efficiency of millimeter wave (mmWave) systems. However, its practical performance is significantly degenerated by hardware imperfections, such as carrier frequency offset (CFO). Conventional CFO estimation methods that compare the phases of two measurements cannot be applied in CS straightforwardly because the two successive beacons are different. To overcome these problems, we propose a novel CFO-robust compressive path-tracking algorithm by introducing a two-stage CFO estimation procedure before performing coherent CS detection. Unlike conventional CFO estimates, the CFO estimate in the proposed algorithm can be obtained from the signal strength value of the received signal at the cost of a small amount of additional computation complexity. Numerical results demonstrate the superiority of the proposed algorithm in both single-path and multipath scenarios.",
keywords = "CFO, compressive path tracking, mmWave",
author = "Xi Yang and Shih, \{Wan Ting\} and Wen, \{Chao Kai\} and Xiao Li and Shi Jin",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 ; Conference date: 15-04-2019 Through 19-04-2019",
year = "2019",
month = apr,
doi = "10.1109/WCNC.2019.8886080",
language = "英语",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Wireless Communications and Networking Conference, WCNC 2019",
address = "美国",
}