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Optical BEAMTAP beam-forming and jammer-nulling system for broadband phased-array antennas.

G Kriehn1, A Kiruluta, P E Silveira

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A new algorithm significantly reduces hardware for broadband beamforming in large antenna arrays. This method enables optimal adaptation to complex signal environments for radar, sonar, and communication systems.

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Optics

Background:

  • Adaptive antenna arrays are crucial for modern radar, sonar, and communication systems.
  • Conventional beamforming techniques require substantial hardware, especially for large, broadband arrays.
  • Existing methods struggle with complex spatiotemporal signal environments.

Purpose of the Study:

  • To present an efficient and compact optical implementation for broadband beamforming and jammer nulling.
  • To introduce a novel algorithm that drastically reduces hardware requirements for adaptive antenna arrays.
  • To enable optimal adaptation to complex signal environments using photonic systems.

Main Methods:

  • Development of the broadband efficient adaptive method for true-time-delay array processing (BEAMTAP) algorithm.
  • Utilizing radio frequency (RF) photonic systems with coherent optically modulated fiber-optic feed networks.
  • Employing gratings in photorefractive crystals for adaptive weights and acousto-optic devices for weight adaptation control.

Main Results:

  • Reduced the number of tapped delay lines from N to 2 for an N-element phased-array antenna.
  • Achieved full NM degrees of freedom with significantly reduced hardware compared to conventional methods.
  • Demonstrated the capability to adapt to broadband signals, interference, and jammers from arbitrary angles.

Conclusions:

  • The BEAMTAP algorithm offers enormous savings in delay-line hardware for large broadband arrays.
  • Photonic systems, leveraging photorefractive crystals, can control arbitrarily large antenna arrays.
  • This approach surpasses conventional RF and digital signal processing techniques for complex adaptive array applications.