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A Robust Design for Aperture-Level Simultaneous Transmit and Receive with Digital Phased Array.

Mingcong Xie1, Xizhang Wei1, Yanqun Tang1

  • 1School of Electronics and Communication Engineering, Sun Yat-Sen University, Xinhu Street, Guangming District, Shenzhen 518107, China.

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Summary
This summary is machine-generated.

This study introduces an adaptive random group quantum brainstorming optimization (ARGQBSO) algorithm to enhance aperture-level simultaneous transmit and receive (ALSTAR) array design. The novel algorithm simplifies ALSTAR array implementation and improves performance, addressing limitations of existing methods.

Keywords:
adaptive beamformingadaptive random group quantum brainstorming (ARGQBSO)aperture-level simultaneous transmit and receive (ALSTAR)digital phased arrayrobust design

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Area of Science:

  • Electromagnetic Engineering
  • Array Signal Processing
  • Optimization Algorithms

Background:

  • Aperture-level simultaneous transmit and receive (ALSTAR) arrays aim for isolation using adaptive digital beamforming and self-interference cancellation.
  • Existing ALSTAR methods overlook crucial factors like transmitter radiation efficiency and receiver sensitivity.
  • Current ALSTAR array designs lack robust theoretical underpinnings and simplified engineering implementation.

Purpose of the Study:

  • To propose a novel adaptive random group quantum brainstorming optimization (ARGQBSO) algorithm for ALSTAR array design.
  • To simplify the engineering implementation of ALSTAR arrays.
  • To enhance the overall performance of ALSTAR systems, considering both isolation and efficiency.

Main Methods:

  • Development of the adaptive random group quantum brainstorming optimization (ARGQBSO) algorithm, an advancement of the Brainstorming Optimization (BSO) algorithm.
  • Incorporation of four ameliorations into ARGQBSO for ALSTAR arrays: random grouping, initial value presets, dynamic probability functions, and quantum computing principles.
  • Application of ARGQBSO for robust transmit and receive beamforming across all elevation angles.

Main Results:

  • The ARGQBSO algorithm demonstrates excellent performance in simulated ALSTAR array scenarios.
  • Achieved peak Effective Isotropic Radiated Power (EIRP) of 47.1 dBW with 1000 W transmit power.
  • Attained peak Effective Isotropic Sensitivity (EIS) of -94.6 dBm and peak Effective Isotropic Interference (EII) of 166.8 dB for an 8-element array.

Conclusions:

  • The proposed ARGQBSO algorithm offers a simplified and effective approach to ALSTAR array design.
  • ARGQBSO enhances ALSTAR performance by improving beamforming robustness and reducing complexity.
  • The algorithm's simulated results validate its potential for practical engineering applications in advanced antenna systems.