Quantum two-mode squeezing radar and noise radar: covariance matrices for signal processing

被引:37
作者
Luong, David [1 ]
Balaji, Bhashyam [1 ]
机构
[1] Def R&D Canada, Ottawa, ON, Canada
关键词
covariance matrices; matched filters; quantum entanglement; optical squeezing; microwave photonics; radar signal processing; optical information processing; optical radar; quantum two-mode squeezing radar; signal processing; prototype quantum radar; entangled microwave signals; two-mode squeezed vacuum; continuous-variable entanglement; entangled QTMS radar signals; simpler radar system; two-mode noise radar; standard noise radars; TMN radar signals; fictional TMN radar; mathematical transformation; microwave frequency; noise radar literature; idealised TMN radar;
D O I
10.1049/iet-rsn.2019.0090
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Recently, the authors have built and evaluated a prototype quantum radar in the laboratory which operates at microwave frequencies. This radar, which they call a quantum two-mode squeezing radar (QTMS radar), generates a pair of entangled microwave signals and transmits one of them through free space, using the other signal as a reference to perform matched filtering. The specific type of entanglement is called a two-mode squeezed vacuum, a type of continuous-variable entanglement between two frequencies. Motivated by the success of these experiments, they try to better understand the entangled QTMS radar signals in this study. They do so by comparing it to a simpler, more conventional radar system, which they call a two-mode noise radar (TMN radar). They also show how both types of radars are related to standard noise radars as described in the literature. They find that the signals for QTMS radar signals and TMN radar signals have the same mathematical form and that they are related to noise radar by a simple mathematical transformation. This shows that QTMS radar signals can be emulated by a fictional, idealised TMN radar and that it is possible to apply results from the noise radar literature to QTMS radar.
引用
收藏
页码:97 / 104
页数:8
相关论文
共 50 条
[31]   Estimation of Covariance Matrix in Signal Processing When the Noise Covariance Matrix is Arbitrary [J].
Bhandary, Madhusudan .
JOURNAL OF MODERN APPLIED STATISTICAL METHODS, 2008, 7 (01) :198-204
[32]   Signal Processing Architecture for a Trustworthy 77-GHz MIMO Radar [J].
Kishore Arumugam, Ram ;
Froehly, Andre ;
Wallrath, Patrick ;
Herschel, Reinhold ;
Pohl, Nils .
IEEE TRANSACTIONS ON RADAR SYSTEMS, 2024, 2 :1112-1122
[33]   Quantum correlations in two-mode Gaussian open quantum systems [J].
Isar, Auerelian .
ROMOPTO 2012: TENTH CONFERENCE ON OPTICS: MICRO- TO NANOPHOTONICS III, 2013, 8882
[34]   SIGNAL PROCESSING IN SATELLITE-BORNE RADAR ALTIMETER [J].
Ji Hongbing Fan Laiyao Wang JianjunElectronic Engineering Dept Xidian University Xian .
JournalofElectronics(China), 1996, (03) :242-248
[35]   The signal selection and processing method for polarization measurement radar [J].
YuLiang Chang ;
XueSong Wang ;
YongZhen Li ;
ShunPing Xiao .
Science in China Series F: Information Sciences, 2009, 52 :1926-1935
[36]   The signal selection and processing method for polarization measurement radar [J].
CHANG YuLiang .
Science China(Information Sciences), 2009, (10) :1926-1935
[37]   A simple signal processing architecture for instantaneous radar polarimetry [J].
Howard, Stephen D. ;
Calderbank, A. Robert ;
Moran, William .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2007, 53 (04) :1282-1289
[38]   The signal selection and processing method for polarization measurement radar [J].
Chang YuLiang ;
Wang XueSong ;
Li YongZhen ;
Xiao ShunPing .
SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2009, 52 (10) :1926-1935
[39]   EM-based Radar Signal Processing and Tracking [J].
Nussbaum, Alan ;
Keel, Byron ;
Blair, William Dale ;
Ramachandran, Umakishore .
2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE, 2021,
[40]   Qam mapped ofdm signal processing on radar applications [J].
Avagyan, H. (havagyan@irphe.am), 1600, Begell House Inc. (73) :529-535