Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization

The OFDM chirp signal is suitable for MIMO radar applications due to its large time-bandwidth product, constant time-domain, and almost constant frequency-domain modulus. Particularly, by introducing the time-frequency structure of the non-linear frequency modulation (NLFM) signal into the design of...

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Autores principales:	Tianqu Liu, Jinping Sun, Qing Li, Zhimei Hao, Guohua Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	OFDM MIMO radar NLFM alternating optimization particle swarm optimization (PSO) block coordinate descent (BCD) Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/5b431cc724544294926388bcc5429052
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spelling	oai:doaj.org-article:5b431cc724544294926388bcc54290522021-11-25T18:58:34ZLow Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization10.3390/s212277041424-8220https://doaj.org/article/5b431cc724544294926388bcc54290522021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7704https://doaj.org/toc/1424-8220The OFDM chirp signal is suitable for MIMO radar applications due to its large time-bandwidth product, constant time-domain, and almost constant frequency-domain modulus. Particularly, by introducing the time-frequency structure of the non-linear frequency modulation (NLFM) signal into the design of an OFDM chirp waveform, a new OFDM-NLFM waveform with low peak auto-correlation sidelobe ratio (PASR) and peak cross-correlation ratio (PCCR) is obtained. IN-OFDM is the OFDM-NLFM waveform set currently with the lowest PASR and PCCR. Here we construct the optimization model of the OFDM-NLFM waveform set with the objective function being the maximum of the PASR and PCCR. Further, this paper proposes an OFDM-NLFM waveform set design algorithm inspired by alternating optimization. We implement the proposed algorithm by the alternate execution of two sub-algorithms. First, we keep both the sub-chirp sequence code matrix and sub-chirp rate plus and minus (PM) code matrix unchanged and use the particle swarm optimization (PSO) algorithm to obtain the optimal parameters of the NLFM signal’s time-frequency structure (NLFM parameters). Next, we keep current optimal NLFM parameters unchanged, and optimize the sub-chirp sequence code matrix and sub-chirp rate PM code matrix using the block coordinate descent (BCD) algorithm. The above two sub-algorithms are alternately executed until the objective function converges to the optimal solution. The results show that the PASR and PCCR of the obtained OFDM-NLFM waveform set are about 5 dB lower than that of the IN-OFDM.Tianqu LiuJinping SunQing LiZhimei HaoGuohua WangMDPI AGarticleOFDMMIMO radarNLFMalternating optimizationparticle swarm optimization (PSO)block coordinate descent (BCD)Chemical technologyTP1-1185ENSensors, Vol 21, Iss 7704, p 7704 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	OFDM MIMO radar NLFM alternating optimization particle swarm optimization (PSO) block coordinate descent (BCD) Chemical technology TP1-1185
spellingShingle	OFDM MIMO radar NLFM alternating optimization particle swarm optimization (PSO) block coordinate descent (BCD) Chemical technology TP1-1185 Tianqu Liu Jinping Sun Qing Li Zhimei Hao Guohua Wang Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization
description	The OFDM chirp signal is suitable for MIMO radar applications due to its large time-bandwidth product, constant time-domain, and almost constant frequency-domain modulus. Particularly, by introducing the time-frequency structure of the non-linear frequency modulation (NLFM) signal into the design of an OFDM chirp waveform, a new OFDM-NLFM waveform with low peak auto-correlation sidelobe ratio (PASR) and peak cross-correlation ratio (PCCR) is obtained. IN-OFDM is the OFDM-NLFM waveform set currently with the lowest PASR and PCCR. Here we construct the optimization model of the OFDM-NLFM waveform set with the objective function being the maximum of the PASR and PCCR. Further, this paper proposes an OFDM-NLFM waveform set design algorithm inspired by alternating optimization. We implement the proposed algorithm by the alternate execution of two sub-algorithms. First, we keep both the sub-chirp sequence code matrix and sub-chirp rate plus and minus (PM) code matrix unchanged and use the particle swarm optimization (PSO) algorithm to obtain the optimal parameters of the NLFM signal’s time-frequency structure (NLFM parameters). Next, we keep current optimal NLFM parameters unchanged, and optimize the sub-chirp sequence code matrix and sub-chirp rate PM code matrix using the block coordinate descent (BCD) algorithm. The above two sub-algorithms are alternately executed until the objective function converges to the optimal solution. The results show that the PASR and PCCR of the obtained OFDM-NLFM waveform set are about 5 dB lower than that of the IN-OFDM.
format	article
author	Tianqu Liu Jinping Sun Qing Li Zhimei Hao Guohua Wang
author_facet	Tianqu Liu Jinping Sun Qing Li Zhimei Hao Guohua Wang
author_sort	Tianqu Liu
title	Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization
title_short	Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization
title_full	Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization
title_fullStr	Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization
title_full_unstemmed	Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization
title_sort	low correlation interference ofdm-nlfm waveform design for mimo radar based on alternating optimization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5b431cc724544294926388bcc5429052
work_keys_str_mv	AT tianquliu lowcorrelationinterferenceofdmnlfmwaveformdesignformimoradarbasedonalternatingoptimization AT jinpingsun lowcorrelationinterferenceofdmnlfmwaveformdesignformimoradarbasedonalternatingoptimization AT qingli lowcorrelationinterferenceofdmnlfmwaveformdesignformimoradarbasedonalternatingoptimization AT zhimeihao lowcorrelationinterferenceofdmnlfmwaveformdesignformimoradarbasedonalternatingoptimization AT guohuawang lowcorrelationinterferenceofdmnlfmwaveformdesignformimoradarbasedonalternatingoptimization
_version_	1718410463905054720

Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization

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