Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In wireless applications, the radiation pattern of adaptive antenna system is smartly formed and steered to cancel interfering signals (placing nulls) and produces a strong peak towards the desired signal according to the calculated weight vectors. This paper proposes an enhanced beamforming technique based on Minimum Variance Distortionless Response (MVDR). The Clonal selection algorithm (Clonalg) of Artificial Immune System (AIS) has been incorporated to assist MVDR to more precisely steer its beam towards desired user and forming deeper nulls at the interfering signals. The proposed algorithm has been simulated by using uniform linear antenna with multiple array elements, with 0.5λ spacing between adjacent elements and operated in the frequency of 2.3GHz with 20 dB noise power level. Simulation results show that AIS assisted MVDR adaptive beamforming technique is able to produce much better received SINR in comparison of conventional MVDR.

Original languageEnglish
Title of host publication2013 International Conference on ICT Convergence
Subtitle of host publication"Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013
PublisherIEEE Computer Society
Pages938-943
Number of pages6
ISBN (Print)9781479906987
DOIs
Publication statusPublished - 01 Jan 2013
Event2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 - Jeju Island, Korea, Republic of
Duration: 14 Oct 201316 Oct 2013

Other

Other2013 International Conference on Information and Communication Technology Convergence, ICTC 2013
CountryKorea, Republic of
CityJeju Island
Period14/10/1316/10/13

Fingerprint

Immune system
Beamforming
Antennas
Directional patterns (antenna)

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

Cite this

Salem.s, B., Tiong, S. K., Koh, J. S. P., & Goh, C. H. (2013). Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system. In 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013 (pp. 938-943). [6675523] IEEE Computer Society. https://doi.org/10.1109/ICTC.2013.6675523
Salem.s, Balasem ; Tiong, Sieh Kiong ; Koh, Johnny Siaw Paw ; Goh, Chin Hock. / Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system. 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013. IEEE Computer Society, 2013. pp. 938-943
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abstract = "In wireless applications, the radiation pattern of adaptive antenna system is smartly formed and steered to cancel interfering signals (placing nulls) and produces a strong peak towards the desired signal according to the calculated weight vectors. This paper proposes an enhanced beamforming technique based on Minimum Variance Distortionless Response (MVDR). The Clonal selection algorithm (Clonalg) of Artificial Immune System (AIS) has been incorporated to assist MVDR to more precisely steer its beam towards desired user and forming deeper nulls at the interfering signals. The proposed algorithm has been simulated by using uniform linear antenna with multiple array elements, with 0.5λ spacing between adjacent elements and operated in the frequency of 2.3GHz with 20 dB noise power level. Simulation results show that AIS assisted MVDR adaptive beamforming technique is able to produce much better received SINR in comparison of conventional MVDR.",
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Salem.s, B, Tiong, SK, Koh, JSP & Goh, CH 2013, Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system. in 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013., 6675523, IEEE Computer Society, pp. 938-943, 2013 International Conference on Information and Communication Technology Convergence, ICTC 2013, Jeju Island, Korea, Republic of, 14/10/13. https://doi.org/10.1109/ICTC.2013.6675523

Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system. / Salem.s, Balasem; Tiong, Sieh Kiong; Koh, Johnny Siaw Paw; Goh, Chin Hock.

2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013. IEEE Computer Society, 2013. p. 938-943 6675523.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In wireless applications, the radiation pattern of adaptive antenna system is smartly formed and steered to cancel interfering signals (placing nulls) and produces a strong peak towards the desired signal according to the calculated weight vectors. This paper proposes an enhanced beamforming technique based on Minimum Variance Distortionless Response (MVDR). The Clonal selection algorithm (Clonalg) of Artificial Immune System (AIS) has been incorporated to assist MVDR to more precisely steer its beam towards desired user and forming deeper nulls at the interfering signals. The proposed algorithm has been simulated by using uniform linear antenna with multiple array elements, with 0.5λ spacing between adjacent elements and operated in the frequency of 2.3GHz with 20 dB noise power level. Simulation results show that AIS assisted MVDR adaptive beamforming technique is able to produce much better received SINR in comparison of conventional MVDR.

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Salem.s B, Tiong SK, Koh JSP, Goh CH. Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system. In 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013. IEEE Computer Society. 2013. p. 938-943. 6675523 https://doi.org/10.1109/ICTC.2013.6675523