Artificially Intelligent Power Amplifier Array (AIPAA): A New Paradigm in Reconfigurable Radar Transmission

Artificially Intelligent Power Amplifier Array (AIPAA): A New Paradigm in Reconfigurable Radar Transmission
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人工智能功率放大器阵列(AIPAA):可重构雷达传输的新范式

DOI:
10.1109/radarconf2147009.2021.9455195
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发表时间:
2021
期刊:
2021 IEEE Radar Conference (RadarConf21)
影响因子:
--
通讯作者:
Casey Latham
Casey Latham
中科院分区:
--
文献类型:
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作者:
C. Baylis;R. Marks;Austin Egbert;Casey Latham

文献摘要

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为了频谱共享,传统雷达波段的重新分配越来越多,这要求未来的雷达系统在真实的时间上是自适应的和可重构的。必须监控雷达阵列输出,以便调整相关输入,以确保与其他系统的空间和频谱共存,同时最大限度地提高性能。我们讨论一个新概念:与快速算法耦合的可重新配置的功率放大器的阵列,该快速算法可以允许在操作频率或波束操纵的变化时重新优化性能。该AIPAA将能够嵌入人工智能(AI)和机器学习(ML)技术,以优化波形和电路的阵列模式。AIPAA将优化发射机和传输,使其在频谱和空间域中共存。一个空间光谱掩模和加入不同的优化方法进行了讨论,作为有用的构建块,用于构建AIPAA优化。电路线性度对阵列方向图的影响和阵列元件中实时可重构电路的潜在改进也进行了讨论。
The increasing re-allocation of traditional radar bands for spectrum sharing requires future radar systems to be both adaptive and reconfigurable in real time. Radar array outputs must be monitored so that related inputs are adjusted to ensure spatial and spectral coexistence with other systems while maximizing performance. We discuss a new concept: an array of reconfigurable power amplifiers coupled with fast algorithms that can allow performance to be re-optimized upon changes in operating frequency or beam steering. This AIPAA will be capable of embedding artificial intelligence (AI) and machine learning (ML) techniques to optimize the array pattern with the waveforms and circuitry. The AIPAA will optimize the transmitter and transmissions to coexist within the spectral and spatial domains. A spatial-spectral mask and an approach to join different optimizations are discussed as useful building blocks for constructing the AIPAA optimizations. The impact of circuit linearity on the array pattern and potential improvement from real-time reconfigurable circuitry in the array elements are also discussed.