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Analysis of Several Algorithms for DOA Estimation in Two Different Communication Models by a Comparative Study

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Business Intelligence (CBI 2022)

Abstract

Direction-of-arrival (DOA) is a critical parameter in array signal processing. The classical DOA estimation approaches are inefficient in applications such as underwater array processing because it consists of a high number of snapshots. In the recent advancement of technology, wideband signals are preferable to narrowband signals. Wideband signals can estimate DOAs more effectively with fewer side lobes and antenna elements. In this study, we compare the performance of DOA estimation for narrowband and broadband signals by evaluating the angular spectrum of the multiple signal classification (MUSIC) algorithm and the Capon method. We will estimate the spectral position using various parameters such as the number of antennas, and signal-to-noise ratio (SNR). In addition, we will look for the spectral peak location and calculate the final DOA. As a result, studying and analyzing wideband signals is crucial, particularly in applications such as 5G MIMO systems.

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Correspondence to Hassan Ougraz .

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Ougraz, H., Safi, S., Frikel, M. (2022). Analysis of Several Algorithms for DOA Estimation in Two Different Communication Models by a Comparative Study. In: Fakir, M., Baslam, M., El Ayachi, R. (eds) Business Intelligence. CBI 2022. Lecture Notes in Business Information Processing, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-031-06458-6_18

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  • DOI: https://doi.org/10.1007/978-3-031-06458-6_18

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  • Online ISBN: 978-3-031-06458-6

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