@inproceedings{aa259e62481042f4a99adf09c084f080,
title = "DOA estimation of coherent wideband LFM signals based on sparse representation of FRFT domain",
abstract = "In this paper, a DOA estimation method for wideband signals based on sparse representation in FRFT domain is proposed. This method establishes the DOA estimation model and the array popular matrix in the FRFT domain and reconstruct the spatial spectral function based on the sparse representation of the spatial angle, so as to realize DOA estimation of the wideband LFM signals. The algorithm is not only suitable for non-coherent signals, but also can process coherent signals directly without any decoherent operations. Simulation results show that the proposed method can achieve higher estimation performance than the traditional methods, especially at low SNR.",
keywords = "DOA, FRFT, Sparse representation, Wideband LFM signal",
author = "Xiuhong Wang and Xingpeng Mao and Yaliang Wang and Aijun Liu",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_193",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1592--1600",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}