Long-time coherent integration detection of weak manoeuvring target via integration algorithm, improved axis rotation discrete chirp-Fourier transform
Range/Doppler migrations, which result from the integration time increasing and the target's manoeuvring motion, will affect the coherent integration performance severely. To deal with range/Doppler migration, a novel coherent integration algorithm, improved axis rotation discrete chirp-Fourier...
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| Vydáno v: | IET radar, sonar & navigation Ročník 9; číslo 7; s. 917 - 926 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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The Institution of Engineering and Technology
01.08.2015
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| ISSN: | 1751-8784, 1751-8792 |
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| Abstract | Range/Doppler migrations, which result from the integration time increasing and the target's manoeuvring motion, will affect the coherent integration performance severely. To deal with range/Doppler migration, a novel coherent integration algorithm, improved axis rotation discrete chirp-Fourier transform (IAR-DCFT), is proposed. IAR-DCFT could eliminate range migration via improved axis rotation transform, and realise the compensation of Doppler migration and coherent integration via discrete chirp-Fourier transform. IAR-DCFT may be regarded as tri-dimensional motion parameter filter banks, which is analogous to moving target detection that can be treated as Doppler filter banks, and estimate a target's velocity, acceleration and jerk simultaneously. Then the derivations of maximum-likelihood estimator and likelihood ratio test detector show that IAR-DCFT is the optimal estimator and a detector. The performance of the optimal estimator is verified by comparing with Cramer-Rao lower bound. Subsequently, the detailed performance analyses of IAR-DCFT are provided, including coherent integration gain, coherent integration time, multi-target detection and computational complexity. Furthermore, the authors introduce the generalisation of IAR-DCFT, that is, multi-range-cell associated IAR-DCFT (MR-IAR-DCFT), which can be applied to detect a target with high-manoeuvring motion or used in a longer time integration case. Finally, some numerical experiments are given to verify the performance of IAR-DCFT and MR-IAR-DCFT. |
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| AbstractList | Range/Doppler migrations, which result from the integration time increasing and the target's manoeuvring motion, will affect the coherent integration performance severely. To deal with range/Doppler migration, a novel coherent integration algorithm, improved axis rotation discrete chirp‐Fourier transform (IAR‐DCFT), is proposed. IAR‐DCFT could eliminate range migration via improved axis rotation transform, and realise the compensation of Doppler migration and coherent integration via discrete chirp‐Fourier transform. IAR‐DCFT may be regarded as tri‐dimensional motion parameter filter banks, which is analogous to moving target detection that can be treated as Doppler filter banks, and estimate a target's velocity, acceleration and jerk simultaneously. Then the derivations of maximum‐likelihood estimator and likelihood ratio test detector show that IAR‐DCFT is the optimal estimator and a detector. The performance of the optimal estimator is verified by comparing with Cramer‐Rao lower bound. Subsequently, the detailed performance analyses of IAR‐DCFT are provided, including coherent integration gain, coherent integration time, multi‐target detection and computational complexity. Furthermore, the authors introduce the generalisation of IAR‐DCFT, that is, multi‐range‐cell associated IAR‐DCFT (MR‐IAR‐DCFT), which can be applied to detect a target with high‐manoeuvring motion or used in a longer time integration case. Finally, some numerical experiments are given to verify the performance of IAR‐DCFT and MR‐IAR‐DCFT. |
| Author | Tao, Haihong Su, Jia Li, Weiping Rao, Xuan Xie, Jian |
| Author_xml | – sequence: 1 givenname: Xuan surname: Rao fullname: Rao, Xuan email: raoxuancom@163.com organization: 2School of Information Engineering, Nanchang Hangkong University, Nanchang, Jiangxi 330063, People's Republic of China – sequence: 2 givenname: Haihong surname: Tao fullname: Tao, Haihong organization: 1National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China – sequence: 3 givenname: Jian surname: Xie fullname: Xie, Jian organization: 1National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China – sequence: 4 givenname: Jia surname: Su fullname: Su, Jia organization: 1National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China – sequence: 5 givenname: Weiping surname: Li fullname: Li, Weiping organization: 1National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China |
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| CitedBy_id | crossref_primary_10_1109_ACCESS_2019_2892505 crossref_primary_10_1109_JSEN_2025_3566076 crossref_primary_10_1016_j_dsp_2021_103274 crossref_primary_10_1016_j_sigpro_2020_107565 crossref_primary_10_1109_ACCESS_2019_2947169 crossref_primary_10_1109_ACCESS_2019_2961171 crossref_primary_10_1109_ACCESS_2020_3030891 crossref_primary_10_1007_s10836_016_5633_x crossref_primary_10_1016_j_dsp_2021_102997 crossref_primary_10_1109_JSEN_2019_2912125 crossref_primary_10_1007_s11760_019_01493_6 crossref_primary_10_1109_TAES_2017_2780658 crossref_primary_10_1109_TCI_2018_2855436 crossref_primary_10_3390_rs13101948 crossref_primary_10_3390_rs14112695 crossref_primary_10_3390_rs17152597 crossref_primary_10_1016_j_sigpro_2017_05_013 crossref_primary_10_3390_s20061767 crossref_primary_10_1109_TGRS_2019_2899728 crossref_primary_10_1007_s11045_017_0544_2 crossref_primary_10_1109_ACCESS_2016_2618375 |
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| Keywords | maximum likelihood detection radar detection MR-IAR-DCFT integration algorithm discrete Fourier transforms tridimensional motion parameter filter bank Cramer-Rao lower bound object detection Doppler filter bank target velocity estimation maximum likelihood estimation likelihood ratio test detector maximum likelihood estimator radar weak manoeuvring target detection integration long-time coherent integration detection compensation improved axis rotation discrete chirp-Fourier transform Doppler radar multirange-cell association channel bank filters computational complexity range-Doppler migration |
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| SubjectTerms | Algorithms channel bank filters Coherence compensation computational complexity Cramer‐Rao lower bound discrete Fourier transforms Doppler Doppler effect Doppler filter bank Doppler radar Estimators improved axis rotation discrete chirp‐Fourier transform integration integration algorithm likelihood ratio test detector long‐time coherent integration detection Manoeuvring maximum likelihood detection maximum likelihood estimation maximum likelihood estimator Migration MR‐IAR‐DCFT multirange‐cell association object detection radar radar detection range‐Doppler migration target velocity estimation Transforms tridimensional motion parameter filter bank weak manoeuvring target detection |
| Title | Long-time coherent integration detection of weak manoeuvring target via integration algorithm, improved axis rotation discrete chirp-Fourier transform |
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