Study of sparse frequency waveform for modern radar applications

Radio frequency interference (RFI) is the key concern for modern radar design and signal transmission, especially as electronic warfare (EW) has been of key concern for many countries in modern air combat. With one or more interference signals in the desired signal band, the transmitted signal canno...

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Main Author: Mou, Boxin
Other Authors: Lu Yilong
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/64481
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-644812023-07-07T16:10:39Z Study of sparse frequency waveform for modern radar applications Mou, Boxin Lu Yilong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio Radio frequency interference (RFI) is the key concern for modern radar design and signal transmission, especially as electronic warfare (EW) has been of key concern for many countries in modern air combat. With one or more interference signals in the desired signal band, the transmitted signal cannot be fully recovered by the receiver, as a result of which the positioning and speed detection functions of radar could not be performed. This report addresses RFI suppression using the sparse waveform design and frequency notching. The performances of utilizing both techniques are evaluated using MATLAB simulation. The sparse waveform design that is investigated in the paper is the Spectrally Shaped Waveform Design recently proposed. With the results obtained from simulations, it is discovered that the sparse bands transmission and reception method has a better performance in terms of the SINR improvement but the wideband transmission and sparse bands reception method is better in terms of the sidelobe level suppression. It is therefore important to evaluate the focus of the transmission when choosing between the two methods. Further investigation on the optimization on the design of the two methods could be carried out in future work to improve sidelobe level suppression and SNR improvement in signal transmission and reception. Bachelor of Engineering 2015-05-27T03:44:16Z 2015-05-27T03:44:16Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64481 en Nanyang Technological University 51 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Mou, Boxin
Study of sparse frequency waveform for modern radar applications
description Radio frequency interference (RFI) is the key concern for modern radar design and signal transmission, especially as electronic warfare (EW) has been of key concern for many countries in modern air combat. With one or more interference signals in the desired signal band, the transmitted signal cannot be fully recovered by the receiver, as a result of which the positioning and speed detection functions of radar could not be performed. This report addresses RFI suppression using the sparse waveform design and frequency notching. The performances of utilizing both techniques are evaluated using MATLAB simulation. The sparse waveform design that is investigated in the paper is the Spectrally Shaped Waveform Design recently proposed. With the results obtained from simulations, it is discovered that the sparse bands transmission and reception method has a better performance in terms of the SINR improvement but the wideband transmission and sparse bands reception method is better in terms of the sidelobe level suppression. It is therefore important to evaluate the focus of the transmission when choosing between the two methods. Further investigation on the optimization on the design of the two methods could be carried out in future work to improve sidelobe level suppression and SNR improvement in signal transmission and reception.
author2 Lu Yilong
author_facet Lu Yilong
Mou, Boxin
format Final Year Project
author Mou, Boxin
author_sort Mou, Boxin
title Study of sparse frequency waveform for modern radar applications
title_short Study of sparse frequency waveform for modern radar applications
title_full Study of sparse frequency waveform for modern radar applications
title_fullStr Study of sparse frequency waveform for modern radar applications
title_full_unstemmed Study of sparse frequency waveform for modern radar applications
title_sort study of sparse frequency waveform for modern radar applications
publishDate 2015
url http://hdl.handle.net/10356/64481
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