Compressive Detection Using Sub-Nyquist Radars for Sparse Signals
This paper investigates the compression detection problem using sub-Nyquist radars, which is well suited to the scenario of high bandwidths in real-time processing because it would significantly reduce the computational burden and save power consumption and computation time. A compressive generalize...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2016/3512617 |
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| _version_ | 1832563912126496768 |
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| author | Ying Sun Jianjun Huang Jingxiong Huang Li Kang Li Lei Yi Tang |
| author_facet | Ying Sun Jianjun Huang Jingxiong Huang Li Kang Li Lei Yi Tang |
| author_sort | Ying Sun |
| collection | DOAJ |
| description | This paper investigates the compression detection problem using sub-Nyquist radars, which is well suited to the scenario of high bandwidths in real-time processing because it would significantly reduce the computational burden and save power consumption and computation time. A compressive generalized likelihood ratio test (GLRT) detector for sparse signals is proposed for sub-Nyquist radars without ever reconstructing the signal involved. The performance of the compressive GLRT detector is analyzed and the theoretical bounds are presented. The compressive GLRT detection performance of sub-Nyquist radars is also compared to the traditional GLRT detection performance of conventional radars, which employ traditional analog-to-digital conversion (ADC) at Nyquist sampling rates. Simulation results demonstrate that the former can perform almost as well as the latter with a very small fraction of the number of measurements required by traditional detection in relatively high signal-to-noise ratio (SNR) cases. |
| format | Article |
| id | doaj-art-5e5baf146c2d404dba8a880e47f95219 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-5e5baf146c2d404dba8a880e47f952192025-02-03T01:12:17ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/35126173512617Compressive Detection Using Sub-Nyquist Radars for Sparse SignalsYing Sun0Jianjun Huang1Jingxiong Huang2Li Kang3Li Lei4Yi Tang5ATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong 518060, ChinaATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong 518060, ChinaATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong 518060, ChinaATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong 518060, ChinaATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong 518060, ChinaATR Key Laboratory, Shenzhen University, Shenzhen, Guangdong 518060, ChinaThis paper investigates the compression detection problem using sub-Nyquist radars, which is well suited to the scenario of high bandwidths in real-time processing because it would significantly reduce the computational burden and save power consumption and computation time. A compressive generalized likelihood ratio test (GLRT) detector for sparse signals is proposed for sub-Nyquist radars without ever reconstructing the signal involved. The performance of the compressive GLRT detector is analyzed and the theoretical bounds are presented. The compressive GLRT detection performance of sub-Nyquist radars is also compared to the traditional GLRT detection performance of conventional radars, which employ traditional analog-to-digital conversion (ADC) at Nyquist sampling rates. Simulation results demonstrate that the former can perform almost as well as the latter with a very small fraction of the number of measurements required by traditional detection in relatively high signal-to-noise ratio (SNR) cases.http://dx.doi.org/10.1155/2016/3512617 |
| spellingShingle | Ying Sun Jianjun Huang Jingxiong Huang Li Kang Li Lei Yi Tang Compressive Detection Using Sub-Nyquist Radars for Sparse Signals International Journal of Antennas and Propagation |
| title | Compressive Detection Using Sub-Nyquist Radars for Sparse Signals |
| title_full | Compressive Detection Using Sub-Nyquist Radars for Sparse Signals |
| title_fullStr | Compressive Detection Using Sub-Nyquist Radars for Sparse Signals |
| title_full_unstemmed | Compressive Detection Using Sub-Nyquist Radars for Sparse Signals |
| title_short | Compressive Detection Using Sub-Nyquist Radars for Sparse Signals |
| title_sort | compressive detection using sub nyquist radars for sparse signals |
| url | http://dx.doi.org/10.1155/2016/3512617 |
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