@inproceedings{9d59ca0b842b4cd595297c79160d9ad3,
title = "Direction of Arrival Estimation Using Hybrid Spatial Cross-Cumulants and Root-MUSIC",
abstract = "This paper presents a novel Direction of Arrival (DOA) estimation technique called Cross Cumulant-MUSIC (CC-MUSIC) which jointly employs higher order cumulant statistics and the root-MUSIC algorithm to perform high-resolution DOA estimation in low Signal-to-Noise Ratio (SNR) scenarios. From the simulation results based out of a 4 element uniform linear array and a far-field narrowband signal source, CC-MUSIC outperforms second-order DOA estimation techniques such as root-MUSIC and ESPRIT with a minimum average of10.99\% to 46.33\% depending on the snapshot values at SNR of <15dB for a single signal source scenario and 39.1\% to 83.8\% for a multi-signal source scenario respectively when contaminated with an Additive White Gaussian Noise (AWGN). The work presented here has implications of future studies for optimization and real-world application where SNR environment is noisy while requiring accurate DOA estimation.",
keywords = "Antenna array, DOA, Direction of Arrival, Higher-order statistics",
author = "Murdifi Muhammad and Minghui Li and Abbasi, \{Qammer H.\} and Cindy Goh and Muhammad Imran",
note = "Publisher Copyright: {\textcopyright} 2020 EurAAP.; 14th European Conference on Antennas and Propagation, EuCAP 2020 ; Conference date: 15-03-2020 Through 20-03-2020",
year = "2020",
month = mar,
doi = "10.23919/EuCAP48036.2020.9135813",
language = "English",
series = "14th European Conference on Antennas and Propagation, EuCAP 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "14th European Conference on Antennas and Propagation, EuCAP 2020",
address = "United States",
}