Design of Constant Modulus Discrete Phase Radar Waveforms Subject to Multi-Spectral Constraints
This paper deals with constant modulus waveform design in spectrally dense environments assuming a discrete phase code alphabet. The goal is to optimize the radar detection performance while rigorously controlling the injected interference energy within each shared band and enforcing a similarity co...
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Published in | IEEE signal processing letters Vol. 27; pp. 875 - 879 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1070-9908 1558-2361 |
DOI | 10.1109/LSP.2020.2991357 |
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Abstract | This paper deals with constant modulus waveform design in spectrally dense environments assuming a discrete phase code alphabet. The goal is to optimize the radar detection performance while rigorously controlling the injected interference energy within each shared band and enforcing a similarity constraint to manage some relevant signal features. To tackle the resulting NP-hard optimization problem, an iterative procedure characterized by a polynomial computational complexity, is introduced leveraging the coordinate descent method. Numerical results are provided to show the effectiveness of the technique in terms of detection performance, spectral shape and autocorrelation features. |
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AbstractList | This paper deals with constant modulus waveform design in spectrally dense environments assuming a discrete phase code alphabet. The goal is to optimize the radar detection performance while rigorously controlling the injected interference energy within each shared band and enforcing a similarity constraint to manage some relevant signal features. To tackle the resulting NP-hard optimization problem, an iterative procedure characterized by a polynomial computational complexity, is introduced leveraging the coordinate descent method. Numerical results are provided to show the effectiveness of the technique in terms of detection performance, spectral shape and autocorrelation features. |
Author | Yu, Xianxiang Yang, Jing Aubry, Augusto Cui, Guolong De Maio, Antonio |
Author_xml | – sequence: 1 givenname: Jing orcidid: 0000-0003-1012-8078 surname: Yang fullname: Yang, Jing email: yangjinguestc@163.com organization: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China – sequence: 2 givenname: Augusto orcidid: 0000-0002-5353-0481 surname: Aubry fullname: Aubry, Augusto email: augusto.aubry@unina.it organization: Department of Electrical and Information Technology Engineering, University of Naples Federico II, Napoli, Italy – sequence: 3 givenname: Antonio surname: De Maio fullname: De Maio, Antonio email: ademaio@unina.it organization: Department of Electrical and Information Technology Engineering, University of Naples Federico II, Napoli, Italy – sequence: 4 givenname: Xianxiang surname: Yu fullname: Yu, Xianxiang email: xianxiangy@gmail.com organization: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China – sequence: 5 givenname: Guolong orcidid: 0000-0001-5707-6311 surname: Cui fullname: Cui, Guolong email: cuiguolong@uestc.edu.cn organization: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China |
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Cites_doi | 10.1109/RADAR.2019.8835833 10.1109/TSP.2016.2633242 10.1109/TSP.2017.2787115 10.1109/JSTSP.2015.2464178 10.1109/CIP.2010.5604203 10.1109/TSP.2008.2008247 10.1109/MAES.2016.150216 10.1016/j.sigpro.2017.08.003 10.1109/TSP.2020.2983642 10.1109/TSP.2017.2715010 10.1109/TSP.2018.2847648 10.1109/JPROC.2014.2365517 10.1109/TSP.2018.2833818 10.1109/TSP.2018.2868042 10.1109/TSP.2019.2952048 10.1109/CIP.2010.5604089 10.1109/ACCESS.2018.2876644 10.1109/TSP.2017.2723354 10.1137/120891009 10.1109/TAES.2018.2852200 10.1109/RADAR.2014.6875638 10.1109/ACCESS.2018.2868884 10.1109/LSP.2018.2836219 10.1007/s10107-015-0892-3 10.1109/TSP.2018.2887186 10.1109/TAES.2014.120731 10.1137/S0097539703439088 |
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SubjectTerms | Bandwidth Computational complexity coordinate descent method discrete phase code alphabet Interference Iterative methods Mathematical analysis Multiple spectral compatibility constraints NP-hard optimization problems Optimization Polynomials Radar detection Signal to noise ratio Spectra Waveforms |
Title | Design of Constant Modulus Discrete Phase Radar Waveforms Subject to Multi-Spectral Constraints |
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