Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICICS.2011.6173636
Title: Direction-of-arrival (DOA) estimation in the presence of array signal coupling
Authors: Hui, H.T. 
Keywords: DOA estimation
MUSIC
mutual coupling
receiving mutual impedance
wireless communicaiton
Issue Date: 2011
Source: Hui, H.T. (2011). Direction-of-arrival (DOA) estimation in the presence of array signal coupling. ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICICS.2011.6173636
Abstract: Direction-of-arrival (DOA) estimation is an important function in array signal processing. Many DOA estimation algorithms have been proposed catering for different situations and accuracies requirements. Nevertheless, most of these algorithms were designed based on the assumption of using ideal array sensors such as antennas with no interaction between them. A very common type of DOA estimation algorithms are the high-resolution algorithms such as MUSIC and ESPRIT. However, it is well known that MUSIC and ESPRIT are very sensitive to the antenna mutual coupling, which is a common phenomenon in almost all types of antenna arrays. In the presence of antenna mutual coupling, the array manifold is distorted, leading to a degradation of the orthogonality between the signal and the noise subspaces. Consequently, the high-resolution characteristic as predicted by the ideal DOA algorithms is gone. In this talk, a new method is introduced to characterize the antenna mutual coupling effect so that it can be removed from the distorted array manifold. The new method introduces a new concept of receiving mutual impedance to characterize the antenna mutual coupling in receiving antenna arrays. The new method is shown to be easy for use in DOA estimation and is almost universally applicable to many types of DOA estimation algorithms. Typical DOA estimation examples will be used to demonstrate the effectiveness of the new method. © 2011 IEEE.
Source Title: ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/69968
ISBN: 9781457700309
DOI: 10.1109/ICICS.2011.6173636
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