Abstract:
In this paper, the joint estimation of frequency band and direction-of-arrival (DoA) of signals is evaluated. The number of sources is assumed to be larger than the numbe...Show MoreMetadata
Abstract:
In this paper, the joint estimation of frequency band and direction-of-arrival (DoA) of signals is evaluated. The number of sources is assumed to be larger than the number of sensors and sub-Nyquist rate sampling is introduced in time domain in order to reduce the sampling requirement in the analog-to-digital converter and the number of samples need to be processed. The estimation is performed based on the multiple signal classification (MUSIC) two-dimensional (2D) pseudospectrum reconstructed from the collected sub-Nyquist rate samples. In order to support the MUSIC 2D-pseudospectrum reconstruction, the eigen-threshold (ET) algorithm is implemented to obtain the information related to the number of active sources, which is required in the reconstruction process. The simulation study shows that the reconstructed MUSIC pseudospectrum can be used to accurately identify the frequency band and the DoA of active sources. In addition, the proposed method offers the same performance as the already proposed approach based on the MUSIC 2D-pseudospectrum reconstruction but with assumed prior knowledge on the number of active sources. As the ET algorithm allows for estimation of the number of sources, the proposed approach might be beneficial in cognitive radio applications to locate not only the frequency band of the licensed users but also the direction of their signals from the receiver point of view.
Published in: 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC)
Date of Conference: 19-26 October 2020
Date Added to IEEE Xplore: 04 January 2021
ISBN Information: