Algorithms for Multiple Signals Adaptive Processing in Radio Engineering Systems Antenna Arrays

Boyko, I. A.; Glushankov, E. I.; Kirik, D. I.; Korovin, K. O.; Rylov, E. A.

doi:10.1109/synchroinfo51390.2021.9488370

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…7 For higher frequencies, they are used, for example, in antenna arrays, to improve the reception quality of multiple signals in radio engineering systems. 8 Nowadays, most adaptive filters have been implemented using digital circuits. 4,6,[9][10][11] These are often preferred due to their simplicity and efficiency; however, they are primarily suited for lower frequency applications.…”

Section: Introductionmentioning

confidence: 99%

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High‐speed adaptive analog filter based on fully analog artificial neural network

Paulů

Hospodka

2023

Circuit Theory & Apps

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SummaryThis paper presents an innovative concept of a high‐speed and higher order adaptive filter. A fully analog artificial neural network handles the adaption by using a filter bank for filtering and learning through analog feedback inspired by backpropagation. There is no clock control used in this concept, which makes real‐time adaption possible even for high frequencies. Its functionality is shown by several electrical circuit simulations involving component inaccuracies as well as a commonly used filter example.

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Section: Introductionmentioning

confidence: 99%

“…Furthermore, for lower frequencies in acoustics, including echo cancelation, noise control, array processing, and acoustic communication filtering 7 . For higher frequencies, they are used, for example, in antenna arrays, to improve the reception quality of multiple signals in radio engineering systems 8 …”

Section: Introductionmentioning

confidence: 99%