International Journal of Fuzzy Logic and Intelligent Systems

  • 제4권2호
  • /
  • Pages.182-186
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  • 2004
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Compensation of a Squint Free Phased Array Antenna System using Artificial Neural Networks

  • Kim, Young-Ki (Dept. of Computer Science, Florida Inst. of Tech.) ;
  • Jeon, Do-Hong (School of Computer Science & Engineering, Kwandong Univ.) ;
  • Park, Chiyeon (School of Computer Science & Engineering, Kwandong Univ.)
  • 발행 : 2004.09.01
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초록

This paper describes an advanced compensation for non-linear functions designed to remove steering aberrations from phased array antennas. This system alters the steering command applied to the antenna in a way that the appropriate angle commands are given to the array steering software for the antenna to point to the desired position instead of squinting. Artificial neural networks are used to develop the inverse function necessary to correct the aberration. Also a straightforward antenna steering function is implemented with neural networks for the 9-term polynomials of forward steering function. In all cases the aberration is removed resulting in small RMS angular errors across the operational angle space when the actual antenna position is compared with the desired position. The use of neural network model provides a method of producing a non-linear system that can correct antenna performance and demonstrates the feasibility of generating an inverse steering algorithm.

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참고문헌

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