IFT and Chebyshev-based planar array thinning for adaptive interference suppression
Smart antenna arrays with adaptive nulling capability are emerging as a promising solution to suppress the interference in radar applications and wireless communications in real time. Many adaptive nulling methods have been commonly used, such as controlling amplitude or/and phase excitations of the...
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| Published in | Journal of computational electronics Vol. 22; no. 1; pp. 333 - 349 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.02.2023
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1569-8025 1572-8137 |
| DOI | 10.1007/s10825-022-01981-y |
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| Abstract | Smart antenna arrays with adaptive nulling capability are emerging as a promising solution to suppress the interference in radar applications and wireless communications in real time. Many adaptive nulling methods have been commonly used, such as controlling amplitude or/and phase excitations of the antenna elements and controlling the position of the elements. Generally, most adaptive nulling methods demand digital beamforming to create the correlation matrix from signals that arrived to array antennas. The digital beamforming is costly and needs frequent calibration; therefore, it does not appropriate for large antenna arrays. Among adaptive nulling methods, an array thinning does not require digital beamforming. It takes advantage of the adaptive algorithm to make the element active or inactive. In this paper, an IFT and Chebyshev techniques-based random thinning is presented to suppress the interference adaptively by lowering the SLL or place nulls toward the interference direction. The proposed method works with the antenna arrays that have transmit/receive modules (TRM) with RF switches. The results show the ability of both IFT and Chebyshev techniques to suppress the interference for the small array. In addition, the results indicate the superiority of IFT technique over Chebyshev in the large arrays; it is considerably faster and more efficient (in terms of lowering the sidelobe levels and nulls formation) than the Chebyshev technique. The advantage of the proposed method is no digital beamforming is needed. Consequently, a considerable reduction in complexity, power consumption, and cost can be attained. |
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| AbstractList | Smart antenna arrays with adaptive nulling capability are emerging as a promising solution to suppress the interference in radar applications and wireless communications in real time. Many adaptive nulling methods have been commonly used, such as controlling amplitude or/and phase excitations of the antenna elements and controlling the position of the elements. Generally, most adaptive nulling methods demand digital beamforming to create the correlation matrix from signals that arrived to array antennas. The digital beamforming is costly and needs frequent calibration; therefore, it does not appropriate for large antenna arrays. Among adaptive nulling methods, an array thinning does not require digital beamforming. It takes advantage of the adaptive algorithm to make the element active or inactive. In this paper, an IFT and Chebyshev techniques-based random thinning is presented to suppress the interference adaptively by lowering the SLL or place nulls toward the interference direction. The proposed method works with the antenna arrays that have transmit/receive modules (TRM) with RF switches. The results show the ability of both IFT and Chebyshev techniques to suppress the interference for the small array. In addition, the results indicate the superiority of IFT technique over Chebyshev in the large arrays; it is considerably faster and more efficient (in terms of lowering the sidelobe levels and nulls formation) than the Chebyshev technique. The advantage of the proposed method is no digital beamforming is needed. Consequently, a considerable reduction in complexity, power consumption, and cost can be attained. |
| Author | Bayat, Oguz AL-Adwany, Maan A. S. Hamdoon, Hind Th Agha, Maryam H. |
| Author_xml | – sequence: 1 givenname: Maryam H. orcidid: 0000-0002-6762-7700 surname: Agha fullname: Agha, Maryam H. email: maryam.agha@ogr.altinbas.edu.tr organization: Department of Electrical and Computer Engineering, Altinbas University – sequence: 2 givenname: Maan A. S. surname: AL-Adwany fullname: AL-Adwany, Maan A. S. organization: Computer and Information Engineering Department, University of Ninevah – sequence: 3 givenname: Oguz surname: Bayat fullname: Bayat, Oguz organization: Department of Electrical and Computer Engineering, Altinbas University – sequence: 4 givenname: Hind Th surname: Hamdoon fullname: Hamdoon, Hind Th organization: Computer and Information Engineering Department, University of Ninevah |
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| Keywords | Low sidelobes Planar antenna arrays Adaptive interference suppression Thinned array |
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| SubjectTerms | Adaptive algorithms Antenna arrays Antennas Arrays Beamforming Chebyshev approximation Correlation analysis Electrical Engineering Engineering Fourier transforms Genetic algorithms Interference Mathematical and Computational Engineering Mathematical and Computational Physics Mechanical Engineering Optical and Electronic Materials Optimization techniques Power consumption Radiation Real time Remote sensing Sidelobes Smart antenna systems Theoretical Thinning Wireless communications |
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| Title | IFT and Chebyshev-based planar array thinning for adaptive interference suppression |
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