The neural method outperforms the conventional linear algebra-based method in both the accuracy and speed, although each specific application has its own ...
It is especially suitable for real-time application and hardware implementation. In this paper, we review its application in antenna array signal processing.
Techniques employed in the synthesis of antenna arrays vary from complex analytical methods to iterative numerical methods based on optimisation algorithms.
Recently, studies have been conducted on the possibility of applying neural networks as adaptive algorithms for antenna arrays [3]. This paper presents the ...
This paper shows how to apply artificial intelligence, in the form of neural networks, to achieve specific beam-forming with linear antenna arrays. Multilayer ...
Dec 8, 2023 · Swamy, “Neural methods for antenna array signal processing: a review,” Signal Processing, vol. 82, no. 4, 2002, pp. 547–561. [15] W. Du and ...
May 5, 2024 · This paper introduces a pioneering DL framework featuring a sparse signal augmentation layer, meticulously crafted to bolster single snapshot.
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This paper presents the results of the analysis on the feasibility of AR adaptation algorithms based on neural networks and the possible future developments.
Nov 16, 2020 · Signals received by the antenna arrays are down-converted into baseband signals, digitalized, and then used to form a spatial covariance matrix ...
It is especially suitable for real-time application and hardware implementation. In this paper, we review its application in antenna array signal processing.