Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses
A novel method for solving Doppler ambiguous problem based on compressed sensing (CS) theory is proposed in this paper. A pulse train with the random and sparse transmitting time is transmitted. The received signals after matched filtering can be viewed as randomly sparse sampling from the tradition...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/251849 |
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| author | Yunjian Zhang Zhenmiao Deng Jianghong Shi Linmei Ye Maozhong Fu Chen Zhao |
| author_facet | Yunjian Zhang Zhenmiao Deng Jianghong Shi Linmei Ye Maozhong Fu Chen Zhao |
| author_sort | Yunjian Zhang |
| collection | DOAJ |
| description | A novel method for solving Doppler ambiguous problem based on compressed sensing (CS) theory is proposed in this paper. A pulse train with the random and sparse transmitting time is transmitted. The received signals after matched filtering can be viewed as randomly sparse sampling from the traditional fixed-pulse repetition frequency (PRF) echo signals. The whole target echo could be reconstructed via CS recovery algorithms. Through refining the sensing matrix, which is equivalent to increase the sampling frequency of target characteristic, the Doppler unambiguous range is enlarged. In particular, Complex Approximate Message Passing (CAMP) algorithm is developed to estimate the unambiguity Doppler frequency. Cramer-Rao lower bound expressions are derived for the frequency. Numerical simulations validate the effectiveness of the proposed method. Finally, compared with traditional methods, the proposed method only requires transmitting a few sparse probing pulses to achieve a larger Doppler frequency unambiguous range and can also reduce the consumption of the radar time resources. |
| format | Article |
| id | doaj-art-9bdca9b29ad04eb2b3dc96683b3d31a2 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-9bdca9b29ad04eb2b3dc96683b3d31a22025-02-03T01:24:40ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/251849251849Doppler Ambiguity Resolution Based on Random Sparse Probing PulsesYunjian Zhang0Zhenmiao Deng1Jianghong Shi2Linmei Ye3Maozhong Fu4Chen Zhao5School of Information Science and Engineering, Xiamen University, Fujian 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Fujian 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Fujian 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Fujian 361005, ChinaSchool of Information Science and Engineering, Xiamen University, Fujian 361005, ChinaFaculty of Science, University of Auckland, Auckland 1052, New ZealandA novel method for solving Doppler ambiguous problem based on compressed sensing (CS) theory is proposed in this paper. A pulse train with the random and sparse transmitting time is transmitted. The received signals after matched filtering can be viewed as randomly sparse sampling from the traditional fixed-pulse repetition frequency (PRF) echo signals. The whole target echo could be reconstructed via CS recovery algorithms. Through refining the sensing matrix, which is equivalent to increase the sampling frequency of target characteristic, the Doppler unambiguous range is enlarged. In particular, Complex Approximate Message Passing (CAMP) algorithm is developed to estimate the unambiguity Doppler frequency. Cramer-Rao lower bound expressions are derived for the frequency. Numerical simulations validate the effectiveness of the proposed method. Finally, compared with traditional methods, the proposed method only requires transmitting a few sparse probing pulses to achieve a larger Doppler frequency unambiguous range and can also reduce the consumption of the radar time resources.http://dx.doi.org/10.1155/2015/251849 |
| spellingShingle | Yunjian Zhang Zhenmiao Deng Jianghong Shi Linmei Ye Maozhong Fu Chen Zhao Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses Journal of Electrical and Computer Engineering |
| title | Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses |
| title_full | Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses |
| title_fullStr | Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses |
| title_full_unstemmed | Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses |
| title_short | Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses |
| title_sort | doppler ambiguity resolution based on random sparse probing pulses |
| url | http://dx.doi.org/10.1155/2015/251849 |
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