Improved axis rotation MTD algorithm and its analysis

In radar detection, weak targets’ range migration often happens during long time integration. To detect weak targets effectively, an improved axis rotation moving target detection (IAR-MTD) is introduced and analysed in detail. IAR-MTD can detect weak targets by compensating the linear part of range...

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Vydáno v:	Multidimensional systems and signal processing Ročník 30; číslo 2; s. 885 - 902
Hlavní autoři:	Rao, Xuan, Zhong, Tiantian, Tao, Haihong, Xie, Jian, Su, Jia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.04.2019 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Cameras Circuits and Systems Echoes Electrical Engineering Engineering Fourier transforms Migration Moving targets Radar detection Radial velocity Radon Rotation Signal,Image and Speech Processing Target detection Time integration IAR-MTD Long time coherent integration Linear range migration Weak target radar detection
ISSN:	0923-6082, 1573-0824
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Abstract	In radar detection, weak targets’ range migration often happens during long time integration. To detect weak targets effectively, an improved axis rotation moving target detection (IAR-MTD) is introduced and analysed in detail. IAR-MTD can detect weak targets by compensating the linear part of range migration via the axis rotation and coherently integrating the echoes via moving target detection (MTD). Then the realization of IAR-MTD is derived. Furthermore, the coherent integration gain of IAR-MTD is analysed, which is better than that of traditional MTD, Radon–Fourier transform (RFT) and Keystone transform (KT). Subsequently, to decrease the computational complexity of IAR-MTD, some suggestions are given. Besides, unambiguous Doppler estimation, the tolerance of acceleration, and the multi-target detection of IAR-MTD are analysed respectively. Finally, some numerical experiments are provided to show the performance of IAR-MTD in different conditions and testify the advantages of IAR-MTD over MTD, RFT and KT. The result indicates that IAR-MTD may effectively detect the weak moving targets with constant radial velocity and it is compatible with MTD radar system.
AbstractList	In radar detection, weak targets’ range migration often happens during long time integration. To detect weak targets effectively, an improved axis rotation moving target detection (IAR-MTD) is introduced and analysed in detail. IAR-MTD can detect weak targets by compensating the linear part of range migration via the axis rotation and coherently integrating the echoes via moving target detection (MTD). Then the realization of IAR-MTD is derived. Furthermore, the coherent integration gain of IAR-MTD is analysed, which is better than that of traditional MTD, Radon–Fourier transform (RFT) and Keystone transform (KT). Subsequently, to decrease the computational complexity of IAR-MTD, some suggestions are given. Besides, unambiguous Doppler estimation, the tolerance of acceleration, and the multi-target detection of IAR-MTD are analysed respectively. Finally, some numerical experiments are provided to show the performance of IAR-MTD in different conditions and testify the advantages of IAR-MTD over MTD, RFT and KT. The result indicates that IAR-MTD may effectively detect the weak moving targets with constant radial velocity and it is compatible with MTD radar system.
Author	Tao, Haihong Su, Jia Zhong, Tiantian Rao, Xuan Xie, Jian
Author_xml	– sequence: 1 givenname: Xuan orcidid: 0000-0002-3916-899X surname: Rao fullname: Rao, Xuan email: raoxuancom@163.com organization: School of Information Engineering, Nanchang Hangkong University – sequence: 2 givenname: Tiantian surname: Zhong fullname: Zhong, Tiantian organization: School of Information Engineering, Nanchang Hangkong University – sequence: 3 givenname: Haihong surname: Tao fullname: Tao, Haihong organization: National Laboratory of Radar Signal Processing, Xidian University – sequence: 4 givenname: Jian surname: Xie fullname: Xie, Jian organization: School of Electronics and Information, The Northwestern Polytechnical University – sequence: 5 givenname: Jia surname: Su fullname: Su, Jia organization: School of Electronics and Information, The Northwestern Polytechnical University
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In IEEE Radar conference (pp. 4–8) – reference: BartonDKRadar system analysis and modeling20041BeijingChina Electronics Industry Press158 – reference: XuSWShuiPLCaoYHAdaptive range-spread maneuveringtarget detection incompound-Gaussian clutterDigital Signal Processing2015364656328126310.1016/j.dsp.2014.09.010 – reference: PerryRPDipietroRCFanteRLSAR imaging of moving targetsIEEE Transactions on Aerospace and Electronic Systems199935118820010.1109/7.745691 – reference: RichardsMAFundamentals of radar signal processing20051New YorkMcGraw-Hill Press225294 – reference: BoersYDriessenJNMultitarget particle filter track before detect applicationIEE Proceedings-Radar Sonar and Navigation2004151635135710.1049/ip-rsn:20040841 – reference: MahafzaBRMATLAB simulations for radar systems design20031Boca RatonCRC Press10.1201/9780203502556 – reference: Perry, R. P., Dipietro, R. C., & Fante, R. L. (2007). Coherent integration with range migration using Keystone formatting. 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Snippet	In radar detection, weak targets’ range migration often happens during long time integration. To detect weak targets effectively, an improved axis rotation...
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SubjectTerms	Algorithms Artificial Intelligence Cameras Circuits and Systems Echoes Electrical Engineering Engineering Fourier transforms Migration Moving targets Radar detection Radial velocity Radon Rotation Signal,Image and Speech Processing Target detection Time integration
Title	Improved axis rotation MTD algorithm and its analysis
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