Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integration
Long-time coherent integration technique is one of the most important methods for the improvement of radar detection ability of a weak maneuvering target, whereas the integration performance may be greatly influenced by the across range unit (ARU) and Doppler frequency migration (DFM) effects. In th...
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| Published in: | IEEE transactions on signal processing Vol. 62; no. 4; pp. 939 - 953 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, NY
IEEE
15.02.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1053-587X, 1941-0476 |
| Online Access: | Get full text |
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| Abstract | Long-time coherent integration technique is one of the most important methods for the improvement of radar detection ability of a weak maneuvering target, whereas the integration performance may be greatly influenced by the across range unit (ARU) and Doppler frequency migration (DFM) effects. In this paper, a novel representation known as Radon-fractional Fourier transform (RFRFT) is proposed and investigated to solve the above problems simultaneously. It can not only eliminate the effect of DFM by selecting a proper rotation angle but also achieve long-time coherent integration without ARU effect. The RFRFT can be regarded as a special Doppler filter bank composed of filters with different rotation angles, which indicates a generalization of the traditional moving target detection (MTD) and FRFT methods. Some useful properties and the likelihood ratio test detector of RFRFT are derived for maneuvering target detection. Finally, numerical experiments of aerial target and marine target detection are carried out using simulated and real radar datasets. The results demonstrate that for integration gain and detection ability, the proposed method is superior to MTD, FRFT, and Radon-Fourier transform under low signal-to-clutter/noise ratio (SCR/SNR) environments. Moreover, the trajectory of target can be easily obtained via RFRFT as well. |
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| AbstractList | Long-time coherent integration technique is one of the most important methods for the improvement of radar detection ability of a weak maneuvering target, whereas the integration performance may be greatly influenced by the across range unit (ARU) and Doppler frequency migration (DFM) effects. In this paper, a novel representation known as Radon-fractional Fourier transform (RFRFT) is proposed and investigated to solve the above problems simultaneously. It can not only eliminate the effect of DFM by selecting a proper rotation angle but also achieve long-time coherent integration without ARU effect. The RFRFT can be regarded as a special Doppler filter bank composed of filters with different rotation angles, which indicates a generalization of the traditional moving target detection (MTD) and FRFT methods. Some useful properties and the likelihood ratio test detector of RFRFT are derived for maneuvering target detection. Finally, numerical experiments of aerial target and marine target detection are carried out using simulated and real radar datasets. The results demonstrate that for integration gain and detection ability, the proposed method is superior to MTD, FRFT, and Radon-Fourier transform under low signal-to-clutter/noise ratio (SCR/SNR) environments. Moreover, the trajectory of target can be easily obtained via RFRFT as well. |
| Author | Xiaolong Chen Ningbo Liu Jian Guan You He |
| Author_xml | – sequence: 1 givenname: Xiaolong surname: Chen fullname: Chen, Xiaolong – sequence: 2 givenname: Jian surname: Guan fullname: Guan, Jian – sequence: 3 givenname: Ningbo surname: Liu fullname: Liu, Ningbo – sequence: 4 givenname: You surname: He fullname: He, You |
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| Keywords | Performance evaluation Fourier transformation Moving target Numerical integration Fractional Fourier transformation Measurement sensor Clutter Doppler frequency migration (DFM) long-time coherent integration maneuvering target detection Doppler frequency Radar remote sensing Time domain method Likelihood ratio test Across range unit (ARU) Radar Signal processing Filter bank Radon-fractional Fourier transform (RFRFT) Radon transformation Rotation angle Target detection Signal to noise ratio |
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| SubjectTerms | Across range unit (ARU) Applied sciences Control charts Detection, estimation, filtering, equalization, prediction Doppler effect Doppler frequency migration (DFM) Exact sciences and technology Fourier transforms Information, signal and communications theory long-time coherent integration maneuvering target detection Mathematical methods Object detection Radar cross-sections Radar detection Radon-fractional Fourier transform (RFRFT) Signal and communications theory Signal to noise ratio Signal, noise Telecommunications and information theory Thyristors |
| Title | Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integration |
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