Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications

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Main Authors: Siti Julia, Rosli, Hasliza, Rahim, Ruzelita, Ngadiran, Khairul Najmy, Abdul Rani, Muhammad Imran, Ahmad, Wee, Fwen Hoon
Other Authors: sitijulia@unimap.edu.my
Format: Article
Language:English
Published: EDP Sciences 2020
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69203
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spelling my.unimap-692032020-12-31T04:58:47Z Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications Siti Julia, Rosli Hasliza, Rahim Ruzelita, Ngadiran Khairul Najmy, Abdul Rani Muhammad Imran, Ahmad Wee, Fwen Hoon sitijulia@unimap.edu.my Radar communications Autocorrelation function (ACF) Link to publisher's homepage at https://www.matec-conferences.org/ Finite length of sequences that are modulated both in phase and amplitude and have an ideal autocorrelation function (ACF) consisting of merely a pulse have many applications in control and communication systems. They are widely applied in control and communication systems, such as in pulse compression systems for radar and deep-space ranging problems [1-5]. In radar design, the important part is to choose a waveform, which is suitable to be transmitted because the waveform controls resolution in clutter performance. In addition, it can solve a general signal problem particularly related to the digital processing. Energy ratio (ER), total side lobe energy (SLE), and peak sidelobe level (PSL) are three properties of such sequences interest. This paper presents a method using the Complementation, Cyclic Shift and Bit Addition for synthesizing and optimizing a binary sequence implemented to improve the sequences of a similar quality with the Barker sequence, particularly for lengths greater than 13. All of these methods are guided by the specific parameter with good characteristics in ACF (ER, SLE, and PSL) [6,7,8]. Such sequences can then be effectively used to improve the range and Doppler resolution of radars. 2020-12-31T04:58:47Z 2020-12-31T04:58:47Z 2018 Article MATEC Web of Conferences, vol.150, 2018, 5 pages 2261-236X (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69203 https://doi.org/10.1051/matecconf/201815006016 en Malaysia Technical Universities Conference on Engineering and Technology (MUCET 2017); EDP Sciences
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Radar communications
Autocorrelation function (ACF)
spellingShingle Radar communications
Autocorrelation function (ACF)
Siti Julia, Rosli
Hasliza, Rahim
Ruzelita, Ngadiran
Khairul Najmy, Abdul Rani
Muhammad Imran, Ahmad
Wee, Fwen Hoon
Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications
description Link to publisher's homepage at https://www.matec-conferences.org/
author2 sitijulia@unimap.edu.my
author_facet sitijulia@unimap.edu.my
Siti Julia, Rosli
Hasliza, Rahim
Ruzelita, Ngadiran
Khairul Najmy, Abdul Rani
Muhammad Imran, Ahmad
Wee, Fwen Hoon
format Article
author Siti Julia, Rosli
Hasliza, Rahim
Ruzelita, Ngadiran
Khairul Najmy, Abdul Rani
Muhammad Imran, Ahmad
Wee, Fwen Hoon
author_sort Siti Julia, Rosli
title Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications
title_short Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications
title_full Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications
title_fullStr Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications
title_full_unstemmed Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications
title_sort design of binary coded pulse trains with good autocorrelation properties for radar communications
publisher EDP Sciences
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69203
_version_ 1698698572515508224
score 13.222552