Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/139074
Title: | DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance | Authors: | Li, Jianshu Lin, Zhiping Razul, Sirajudeen Gulam Kumar, A. Anil Zheng, Yuanjin See, Chong-Meng |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2016 | Source: | Li, J., Lin, Z., Razul, S. G., Kumar, A. A., Zheng, Y., & See, C.-M. (2018). DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance. Multidimensional Systems and Signal Processing, 29(2), 537-561. doi:10.1007/s11045-016-0425-0 | Journal: | Multidimensional Systems and Signal Processing | Abstract: | Direction of Arrival (DOA) estimation is one of the major tasks in array signal processing. In this paper, a new DOA estimation method is proposed using a rotational uniform linear array (RULA) consisting of omnidirectional sensors. The main contribution of the proposed method is that the number of distinguishable signals is larger than the methods in the literature with a uniform linear array consisting of the same number of omnidirectional sensors. Moreover, the new method can effectively reduce unknown spatial noises using a generalized complement projection matrix under the RULA framework. Simulations are presented to illustrate the effectiveness of the proposed method and comparison with some existing DOA estimation methods is also made. | URI: | https://hdl.handle.net/10356/139074 | ISSN: | 0923-6082 | DOI: | 10.1007/s11045-016-0425-0 | Schools: | School of Electrical and Electronic Engineering | Research Centres: | Temasek Laboratories | Rights: | © 2016 Springer Science+Business Media New York. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
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