@inproceedings{aa34c610a7424b6281176df2ddd34c95,
title = "DOA estimation based on cross terms of spatial time-frequency distribution matrices",
abstract = "This paper introduces the theoretical basis of spatial time-frequency distributions in direction-of-arrival (DOA) estimation, and then proposes a new method through analysis to non-stationary signals' time-frequency distributions and extraction of their cross terms. The work done by the previous researchers almost based on paying attention to the auto terms information and suppressing of cross terms, and this paper examines the signal cross terms from a new perspective. Study found that cross terms between signals do contain rich information, and using cross terms information alone can calculate out the direction of the source signals. In particular, when the strength between the signals is different, the auto terms information of the weak signal have a certain possibility can not be detected. Therefore, extraction of cross terms information to estimate the DOA of signals is much easier. Simulation experiments verified these characteristics.",
keywords = "Cross terms, DOA estimation, Time-frequency",
author = "Aijun Liu and Fen Li and Siyu Chen and Changjun Yu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Asia-Pacific Microwave Conference, APMC 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
year = "2016",
month = feb,
day = "18",
doi = "10.1109/APMC.2015.7413110",
language = "英语",
series = "Asia-Pacific Microwave Conference Proceedings, APMC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Fan Meng and Wei Hong and Xiao-Wei Zhu and Guang-Qi Yang and Zhe Song",
booktitle = "2015 Asia-Pacific Microwave Conference, APMC 2015 - Proceedings",
address = "美国",
}