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Fast Beamforming of Compact Array Antenna

Fast Beamforming of Compact Array Antenna

Chen Sun, Takashi Ohira, Makoto Taromaru, Nemai Chandra Karmakar, Akifumi Hirata
Copyright: © 2009 |Pages: 18
ISBN13: 9781599049885|ISBN10: 1599049880|ISBN13 Softcover: 9781616927479|EISBN13: 9781599049892
DOI: 10.4018/978-1-59904-988-5.ch009
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MLA

Sun, Chen, et al. "Fast Beamforming of Compact Array Antenna." Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, edited by Chen Sun, et al., IGI Global, 2009, pp. 183-200. https://doi.org/10.4018/978-1-59904-988-5.ch009

APA

Sun, C., Ohira, T., Taromaru, M., Chandra Karmakar, N., & Hirata, A. (2009). Fast Beamforming of Compact Array Antenna. In C. Sun, J. Cheng, & T. Ohira (Eds.), Handbook on Advancements in Smart Antenna Technologies for Wireless Networks (pp. 183-200). IGI Global. https://doi.org/10.4018/978-1-59904-988-5.ch009

Chicago

Sun, Chen, et al. "Fast Beamforming of Compact Array Antenna." In Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, edited by Chen Sun, Jun Cheng, and Takashi Ohira, 183-200. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-988-5.ch009

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Abstract

In this chapter, we describe a compact array antenna. Beamforming is achieved by tuning the load reactances at parasitic elements surrounding the active central element. The existing beam forming algorithms for this reactively controlled parasitic array antennas require long training time. In comparison with these algorithms, a faster beamforming algorithm, based on simultaneous perturbation stochastic approximation (SPSA) theory with a maximum cross-correlation coefficient (MCCC) criterion, is proposed in this chapter. The simulation results validate the algorithm. In an environment where the signal-to-interference ratio (SIR) is 0 dB, the algorithm converges within 50 iterations and achieves an output SINR of 10 dB. With the fast beamforming ability and its low power consumption attribute, the antenna makes the mass deployment of smart antenna technologies practical. To give a comparison of the beamforming algorithm with one of the standard beamforming algorithms for a digital beamforming (DBF) antenna array, we compare the proposed algorithm with the least mean square (LMS) beamforming algorithm. Since the parasitic array antenna is in nature an analog antenna, it cannot suppress correlated interference. Here, we assume that the interferences are uncorrelated.

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