Improving estimation performance of compressive sensing-based multiple-input multiple-output radar using electronic beamsteering

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Radar Sonar and Navigation Pub Date : 2024-01-11 DOI:10.1049/rsn2.12535
Max Schurwanz, Jan Mietzner, Peter Adam Hoeher
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Abstract

Two-dimensional direction-of-arrival (DoA) estimation in azimuth and elevation via radar systems equipped with uniform rectangular arrays (URAs) will play an important role in various application areas—most distinctively in future urban air mobility settings with unmanned aerial vehicles. A key factor is the fast and reliable provision of target detections in terms of range and DoA for safe autonomous operation of the vehicle using on-board antenna arrays with compact installation size. The authors present a technique for improving the performance of DoA estimation using compressive sensing in conjunction with multiple-input multiple-output arrays with electronically steered beams in the transmit direction. The simulation study investigates the impact of different design considerations on radar signal processing performance. An optimisation of a radar system using electronic beamsteering in the transmit domain is presented numerically. Based on the architecture of the URAs used, performance and detection accuracy can be improved.

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利用电子波束转向提高基于压缩传感的多输入多输出雷达的估计性能
通过配备有均匀矩形阵列(URA)的雷达系统进行方位角和仰角的二维到达方向(DoA)估计,将在各种应用领域发挥重要作用,尤其是在未来使用无人驾驶飞行器的城市空中移动环境中。其中一个关键因素是利用安装尺寸小巧的机载天线阵列,快速可靠地提供目标探测距离和 DoA,以保证飞行器的安全自主运行。作者提出了一种提高 DoA 估计性能的技术,该技术采用压缩传感技术,并与在发射方向具有电子转向波束的多输入多输出阵列相结合。模拟研究调查了不同设计考虑因素对雷达信号处理性能的影响。在发射域使用电子波束转向的雷达系统优化以数值形式呈现。根据所使用的 URA 结构,性能和探测精度都可以得到提高。
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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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