Quantum illumination radars: Target detection

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Radar Sonar and Navigation Pub Date : 2024-08-01 DOI:10.1049/rsn2.12592
Jingxin Wang, Kon Max Wong
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Abstract

The authors consider a quantum radar which operates on the quantum illumination principle. The authors’ attention is focused on its function of target detection in a noisy environment. The role of the optical parametric amplifier (OPA) in detection is first examined by the authors, and a dual-OPA design for more flexible combination of optimised gains is proposed, resulting in a detector substantially improved in its performance from the normally used 1-OPA design. Then, the use of the entanglement information in the covariance matrix (CM) between the returned signal and idler beams for detection is considered, and a technique to extract such information is proposed. By employing some statistical relationships between positive definite matrices, the authors come up with a new target detection method. Numerical experiments confirm the superior detection performance of the CM detectors compared to that of the OPA detectors.

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量子照明雷达:目标探测
作者考虑了一种根据量子照明原理运行的量子雷达。作者关注的重点是它在噪声环境中的目标探测功能。作者首先研究了光参量放大器(OPA)在探测中的作用,并提出了一种可更灵活地组合优化增益的双 OPA 设计,从而使探测器的性能比通常使用的 1-OPA 设计有了大幅提高。然后,作者考虑了利用返回信号和惰波束之间协方差矩阵(CM)中的纠缠信息进行探测的问题,并提出了一种提取这种信息的技术。通过利用正定矩阵之间的一些统计关系,作者提出了一种新的目标检测方法。数值实验证实,CM 探测器的探测性能优于 OPA 探测器。
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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.
期刊最新文献
Quantum illumination radars: Target detection Guest Editorial: Advancements and future trends in noise radar technology Artificial Intelligence applications in Noise Radar Technology Implementation of unknown parameter estimation procedure for hybrid and discrete non-linear systems Cognitive dual coprime frequency diverse array MIMO radar network for target discrimination and main-lobe interference mitigation
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