Issue |
Wuhan Univ. J. Nat. Sci.
Volume 27, Number 3, June 2022
|
|
---|---|---|
Page(s) | 255 - 260 | |
DOI | https://doi.org/10.1051/wujns/2022273255 | |
Published online | 24 August 2022 |
Information Technology
CLC number: TN 958.97
Range-Angle Dependent Beampattern Synthesis Method for OFDM-Based Passive Radar
1
School of Electronic Information, Wuhan University, Wuhan
430072, Hubei, China
2
Shenzhen Research Institute, Wuhan University, Shenzhen
518063, Guangdong, China
† To whom correspondence should be addressed. E-mail: 2019202120063@whu.edu.cn
Received:
7
March
2022
Frequency diverse array (FDA) radar applies a tiny frequency offset across its adjacent transmitting array elements to generate a range-angle-dependent beampattern. The increased degrees-of-freedom (DOFs) in range domain can help improve the performance of radar in target detection, localization, and clutter suppression. Passive radar utilizes uncontrollable external signal as illuminator, which makes it difficult to apply traditional frequency diverse process method. However, the third-party illuminator such as Orthogonal Frequency Division Multiplexing (OFDM) signal usually consists of several closely spaced modulated carriers, and it has been widely selected as the illuminator for passive radar in recent years. Considering the orthogonality between even separated subcarriers, we propose a new frequency diverse process method by extracting and processing each subcarrier of received data independently and attempt to provide a range-angle dependent beampattern for OFDM passive radar. Numerical results and real data analyses verify the superiority of frequency diversity process on the received data of OFDM passive radar.
Key words: passive radar / frequency diverse / Orthogonal Frequency Division Multiplexing (OFDM) signal / range-angle dependent beampattern
Biography: RAO Yunhua, male, Associate professor, research direction: radar signal processing. E-mail: ryh@whu.edu.cn
Foundation item: Supported by the National Natural Science Foundation of China (61271400, 62071335, 61931015), Suzhou Science and Technology Planning Project: Key Industrial Technology Innovation (Prospective Application Research SYG202007), Hubei Province Technology Innovation Special Major Project (2019AAA061), Shenzhen Science and Technology Project (JCYJ20170818112037398), and Hubei Province Science Fund for Creative Research Groups (2021CFA002)
© Wuhan University 2022
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