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3 results on '"multicarrier waveform"'

1. Peak to Average Power Ratio Analysis for Multicarrier Waveform Using SLM

Author

Gupta, Jyoti, Gupta, Ankit, Kumar, Arun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Dhar, Sourav, editor, Do, Dinh-Thuan, editor, Sur, Samarendra Nath, editor, and Liu, Chuan-Ming, editor

Published
2023
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2. Cramer-Rao Bounds of Localization Estimation for Integrated Radar and Communication System

Author

Tuanwei Tian, Xiaolin Du, and Guchong Li

Subjects
Cramer-Rao bound, localization estimation, multicarrier waveform, beamforming, integrated radar and communication system, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Instead of only considering the radar estimation error in the traditional radar system (TRS), for the integrated radar and communication system (IRCS), we investigate the Cramer-Rao bound (CRB) of the localization estimation, which is influenced by both radar estimation error and communication transmission error. The functions of radar and communication are operated simultaneously by embedding the communication symbols into the multicarrier radar waveforms. Firstly, we derive the CRB of time/direction of arrival (TOA/DOA) estimation. To minimize the estimation error, we maximize the signal-to-interference-plus-noise ratio (SINR) of radar by iteratively optimizing the radar transmit and receive beamformers (with the constraint of available transmit power). Then, the CRB of localization estimation is derived using hybrid TOA/DOA measurement. The local CRBs from different IRCSs are fused according to the linear fusion rule at the fusion center (FC). Finally, numerical results demonstrate that the additional estimation errors for the IRCS are mainly determined by the channel conditions of communication and available transmit power; the estimation accuracy for both IRCS and TRS can be improved through the iterative transmit and receive beamforming (ITRB) technique.

Published
2020
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3. Cramer-Rao Bounds of Localization Estimation for Integrated Radar and Communication System

Author

Guchong Li, Xiaolin Du, and Tuanwei Tian

Subjects
Beamforming, 0209 industrial biotechnology, General Computer Science, Computer science, 02 engineering and technology, Communications system, beamforming, law.invention, 020901 industrial engineering & automation, law, 0202 electrical engineering, electronic engineering, information engineering, localization estimation, General Materials Science, Radar, Physics::Atmospheric and Oceanic Physics, Fusion center, multicarrier waveform, Computer Science::Information Theory, General Engineering, Direction of arrival, Cramer-Rao bound, Transmitter power output, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, Cramér–Rao bound, Algorithm, integrated radar and communication system, Communication channel
Abstract

Instead of only considering the radar estimation error in the traditional radar system (TRS), for the integrated radar and communication system (IRCS), we investigate the Cramer-Rao bound (CRB) of the localization estimation, which is influenced by both radar estimation error and communication transmission error. The functions of radar and communication are operated simultaneously by embedding the communication symbols into the multicarrier radar waveforms. Firstly, we derive the CRB of time/direction of arrival (TOA/DOA) estimation. To minimize the estimation error, we maximize the signal-to-interference-plus-noise ratio (SINR) of radar by iteratively optimizing the radar transmit and receive beamformers (with the constraint of available transmit power). Then, the CRB of localization estimation is derived using hybrid TOA/DOA measurement. The local CRBs from different IRCSs are fused according to the linear fusion rule at the fusion center (FC). Finally, numerical results demonstrate that the additional estimation errors for the IRCS are mainly determined by the channel conditions of communication and available transmit power; the estimation accuracy for both IRCS and TRS can be improved through the iterative transmit and receive beamforming (ITRB) technique.

Published
2020
Full Text
View/download PDF

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