Stochastic Radiation Radar High-resolution Reconstruction based on Interpulse Frequency Hopping Accumulation Method
Stochastic radiation radar (SRR) transmits space-time two-dimensional stochastic signals to achieve superresolution imaging and can overcome the geometric acquisition limitations of traditional synthetic aperture radar (SAR). However, the resolution of an SRR system is limited by the number of effec...
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| Veröffentlicht in: | IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-1 |
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| container_title | IEEE geoscience and remote sensing letters |
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| creator | Zhang, Yin Qin, Qianyang Liu, Meiting Mao, Deqing Huang, Yulin Yang, Jianyu |
| description | Stochastic radiation radar (SRR) transmits space-time two-dimensional stochastic signals to achieve superresolution imaging and can overcome the geometric acquisition limitations of traditional synthetic aperture radar (SAR). However, the resolution of an SRR system is limited by the number of effective singular values of its stochastic radiation field (SRF). In this letter, an interpulse frequency hopping accumulation (IFHA) method is proposed to improve the resolution of an SRR system. First, an SRR signal model is introduced. The rank of the traditional SRF generation method is quantitatively analyzed and is limited by the number of transmitting array elements. Second, an IFHA method is proposed to increase the number of the effective singular values of the SRF matrix, which can improve the superresolution imaging performance of SRR. Finally, the simulation results verify the effectiveness of the proposed method. |
| doi_str_mv | 10.1109/LGRS.2022.3213485 |
| format | Article |
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However, the resolution of an SRR system is limited by the number of effective singular values of its stochastic radiation field (SRF). In this letter, an interpulse frequency hopping accumulation (IFHA) method is proposed to improve the resolution of an SRR system. First, an SRR signal model is introduced. The rank of the traditional SRF generation method is quantitatively analyzed and is limited by the number of transmitting array elements. Second, an IFHA method is proposed to increase the number of the effective singular values of the SRF matrix, which can improve the superresolution imaging performance of SRR. Finally, the simulation results verify the effectiveness of the proposed method.</description><identifier>ISSN: 1545-598X</identifier><identifier>EISSN: 1558-0571</identifier><identifier>DOI: 10.1109/LGRS.2022.3213485</identifier><identifier>CODEN: IGRSBY</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Accumulation ; Frequency hopping ; high-resolution imaging ; Imaging ; Imaging techniques ; Interpulse frequency hopping accumulation (IFHA) ; Methods ; Radar ; Radar imaging ; Radiation ; Resolution ; SAR (radar) ; Signal to noise ratio ; Stochastic processes ; stochastic radiation radar (SRR) ; Stochasticity ; Superresolution ; Synthetic aperture radar ; Time-frequency analysis ; Transmitting antennas</subject><ispartof>IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c245t-9140284c661c0d8be2c79aa8bf970a4695a765ccd6f7246f56b145763acf03003</cites><orcidid>0000-0002-4726-8384 ; 0000-0002-6761-2269 ; 0000-0001-7311-0524 ; 0000-0002-7408-1654 ; 0000-0003-3930-9323 ; 0000-0003-1821-3832</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9915402$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,4024,27923,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9915402$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhang, Yin</creatorcontrib><creatorcontrib>Qin, Qianyang</creatorcontrib><creatorcontrib>Liu, Meiting</creatorcontrib><creatorcontrib>Mao, Deqing</creatorcontrib><creatorcontrib>Huang, Yulin</creatorcontrib><creatorcontrib>Yang, Jianyu</creatorcontrib><title>Stochastic Radiation Radar High-resolution Reconstruction based on Interpulse Frequency Hopping Accumulation Method</title><title>IEEE geoscience and remote sensing letters</title><addtitle>LGRS</addtitle><description>Stochastic radiation radar (SRR) transmits space-time two-dimensional stochastic signals to achieve superresolution imaging and can overcome the geometric acquisition limitations of traditional synthetic aperture radar (SAR). However, the resolution of an SRR system is limited by the number of effective singular values of its stochastic radiation field (SRF). In this letter, an interpulse frequency hopping accumulation (IFHA) method is proposed to improve the resolution of an SRR system. First, an SRR signal model is introduced. The rank of the traditional SRF generation method is quantitatively analyzed and is limited by the number of transmitting array elements. Second, an IFHA method is proposed to increase the number of the effective singular values of the SRF matrix, which can improve the superresolution imaging performance of SRR. 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| subjects | Accumulation Frequency hopping high-resolution imaging Imaging Imaging techniques Interpulse frequency hopping accumulation (IFHA) Methods Radar Radar imaging Radiation Resolution SAR (radar) Signal to noise ratio Stochastic processes stochastic radiation radar (SRR) Stochasticity Superresolution Synthetic aperture radar Time-frequency analysis Transmitting antennas |
| title | Stochastic Radiation Radar High-resolution Reconstruction based on Interpulse Frequency Hopping Accumulation Method |
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