School of Electronics and Communication Engineering, Sun Yat-Sen University, Xinhu Street, Guangming District, Shenzhen 518107, China.
Sensors (Basel). 2021 Dec 24;22(1):109. doi: 10.3390/s22010109.
Aperture-level simultaneous transmit and receive (ALSTAR) attempts to utilize adaptive digital transmit and receive beamforming and digital self-interference cancellation methods to establish isolation between the transmit and receive apertures of the single-phase array. However, the existing methods only discuss the isolation of ALSTAR and ignore the radiation efficiency of the transmitter and the sensitivity of the receiver. The ALSTAR array design lacks perfect theoretical support and simplified engineering implementation. This paper proposes an adaptive random group quantum brainstorming optimization (ARGQBSO) algorithm to simplify the array design and improve the overall performance. ARGQBSO is derived from BSO and has been ameliorated in four aspects of the ALSTAR array, including random grouping, initial value presets, dynamic probability functions, and quantum computing. The transmit and receive beamforming carried out by ARGQBSO is robust to all elevation angles, which reduces complexity and is conducive to engineering applications. The simulated results indicate that the ARGQBSO algorithm has an excellent performance, and achieves 166.8 dB of peak EII, 47.1 dBW of peak EIRP, and -94.6 dBm of peak EIS with 1000 W of transmit power in the scenario of an 8-element array.
孔径级同时发射和接收(ALSTAR)试图利用自适应数字发射和接收波束成形和数字自干扰消除方法,在单相阵的发射和接收孔径之间建立隔离。然而,现有的方法仅讨论了 ALSTAR 的隔离,而忽略了发射器的辐射效率和接收器的灵敏度。ALSTAR 阵列设计缺乏完善的理论支持和简化的工程实现。本文提出了一种自适应随机分组量子头脑风暴优化(ARGQBSO)算法,以简化阵列设计并提高整体性能。ARGQBSO 源自 BSO,并在 ALSTAR 阵列的四个方面进行了改进,包括随机分组、初始值预设、动态概率函数和量子计算。ARGQBSO 执行的发射和接收波束成形对所有仰角都具有鲁棒性,降低了复杂度,有利于工程应用。模拟结果表明,ARGQBSO 算法具有出色的性能,在 8 单元阵列的场景中,在 1000W 的发射功率下,实现了 166.8dB 的峰值 EII、47.1dBW 的峰值 EIRP 和-94.6dBm 的峰值 EIS。