Intermediate frequency design criterion for reducing spectrum aliasing distortion in binary phase-coded radar system
Intermediate frequency design criterion for reducing spectrum aliasing distortion in binary phase-coded radar system
- Author(s): C. Wang 1, 2 ; L. Ren 1, 2 ; W. Li 1, 2 ; Q. Liu 1, 2 ; E. Mao 1, 2
- DOI: 10.1049/icp.2021.0677
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- Author(s): C. Wang 1, 2 ; L. Ren 1, 2 ; W. Li 1, 2 ; Q. Liu 1, 2 ; E. Mao 1, 2
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View affiliations
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Affiliations:
1:
School of Information and Electronics , Beijing Institute of Technology , Beijing, 100081 , People's Republic of China ;
2: Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology), Ministry of Education , Beijing , People's Republic of China
Source:
IET International Radar Conference (IET IRC 2020),
2021
p.
1010 – 1015
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Affiliations:
1:
School of Information and Electronics , Beijing Institute of Technology , Beijing, 100081 , People's Republic of China ;
- Conference: IET International Radar Conference (IET IRC 2020)
- DOI: 10.1049/icp.2021.0677
- ISBN: 978-1-83953-540-6
- Location: Online Conference
- Conference date: 04-06 November 2020
- Format: PDF
The binary phase-coded waveform, a kind of pulse compression waveform, is widely used in many radar systems. However, its out-of-band spectral sidelobes will cause distortions in practical radar system. One of the distortions, called spectrum aliasing distortion, will occur when the intermediate frequency (IF) signal at fIF is sampled by a sampling rate fS . An IF design criterion in binary phase-coded radar system is proposed to reduce the spectrum aliasing distortion by using the spectrum property of binary codes. The simulations show that with the suitable design of IF the digital signal processing results will be closer to the designed performance, such as the peak sidelobe level (PSL).
Inspec keywords: binary codes; signal processing; radar signal processing; signal sampling; phase coding; pulse compression
Subjects: Radar equipment, systems and applications; Signal processing and detection; Codes