Photonics-Based Broadband Single-Input-Multiple- Output-OAM Coincidence Imaging

Guanqun Sun;Fangzheng Zhang;Xiaoyue Yu;Yuewen Zhou;Yuhui He;Xing Wang;Shilong Pan
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Abstract

A photonics-based broadband single-input-multiple-output (SIMO)-orbital angular momentum (OAM) radar is proposed to implement high-resolution radar imaging. In the transmitter, a broadband linear frequency-modulated (LFM) signal is generated by an optically injected semiconductor laser and emitted by a single antenna to illuminate the target. In the receiver, a uniform circular array (UCA) collects the echoes and introduces OAM modulations before photonic frequency mixing is implemented for broadband dechirp processing. The use of microwave photonic techniques enlarges the operation bandwidth and thus improves the radar range resolution, while the SIMO structure mitigates the OAM beam divergence and energy hollow problems. Based on this SIMO-OAM radar, a super-resolution imaging method with random OAM modulation and coincidence processing is proposed to break through the azimuth resolution limitation. A proof-of-concept photonics-based $1\times 16$ OAM radar is established with an 8-GHz (18–26 GHz) bandwidth, of which the range resolution reaches 2.1 cm. By using the proposed imaging method, super-resolution imaging with six times higher azimuth resolution than traditional OAM radar is achieved. In the experiment, high-resolution imaging of small-size complex targets is successfully demonstrated, verifying that the proposed system and imaging method can meet the requirement for high-resolution radar detection and high-precision target recognition.
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基于光子学的宽带单输入多输出-OAM 重合成像技术
为实现高分辨率雷达成像,提出了一种基于光子学的宽带单输入多输出(SIMO)轨道角动量(OAM)雷达。在发射器中,宽带线性频率调制(LFM)信号由光注入半导体激光器产生,并由单根天线发射以照亮目标。在接收器中,均匀圆形阵列(UCA)收集回波并引入 OAM 调制,然后进行光子混频以实现宽带去啁啾处理。微波光子技术的使用扩大了工作带宽,从而提高了雷达的测距分辨率,而 SIMO 结构则减轻了 OAM 波束发散和能量中空问题。在这种 SIMO-OAM 雷达的基础上,提出了一种采用随机 OAM 调制和巧合处理的超分辨率成像方法,以突破方位分辨率的限制。建立了一个基于光子技术的1美元/次16美元OAM雷达概念验证,带宽为8千兆赫(18-26千兆赫),其测距分辨率达到2.1厘米。通过使用所提出的成像方法,实现了超分辨率成像,其方位角分辨率是传统 OAM 雷达的六倍。在实验中,成功演示了小尺寸复杂目标的高分辨率成像,验证了所提出的系统和成像方法能够满足高分辨率雷达探测和高精度目标识别的要求。
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