Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar
The two-dimensional angular resolution limit (ARL) of elevation and azimuth for MIMO radar with ultrawideband (UWB) noise waveforms is investigated using statistical resolution theory. First, the signal model of monostatic UWB MIMO noise radar is established in a 3D reference frame. Then, the statis...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/906313 |
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| author | Xiaoli Zhou Hongqiang Wang Yongqiang Cheng Yuliang Qin Haowen Chen |
| author_facet | Xiaoli Zhou Hongqiang Wang Yongqiang Cheng Yuliang Qin Haowen Chen |
| author_sort | Xiaoli Zhou |
| collection | DOAJ |
| description | The two-dimensional angular resolution limit (ARL) of elevation and azimuth for MIMO radar with ultrawideband (UWB) noise waveforms is investigated using statistical resolution theory. First, the signal model of monostatic UWB MIMO noise radar is established in a 3D reference frame. Then, the statistical angular resolution limits (SARLs) of two closely spaced targets are derived using the detection-theoretic and estimation-theoretic approaches, respectively. The detection-theoretic approach is based on the generalized likelihood ratio test (GLRT) with given probabilities of false alarm and detection, while the estimation-theoretic approach is based on Smith’s criterion which involves the Cramér-Rao lower bound (CRLB). Furthermore, the relationship between the two approaches is presented, and the factors affecting the SARL, that is, detection parameters, transmit waveforms, array geometry, signal-to-noise ratio (SNR), and parameters of target (i.e., radar cross section (RCS) and direction), are analyzed. Compared with the conventional radar resolution theory defined by the ambiguity function, the SARL reflects the practical resolution ability of radar and can provide an optimization criterion for radar system design. |
| format | Article |
| id | doaj-art-0862a2c8c89d4f1aaf7fb0eac2ce8e19 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-0862a2c8c89d4f1aaf7fb0eac2ce8e192025-08-20T03:55:32ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/906313906313Statistical Angular Resolution Limit for Ultrawideband MIMO Noise RadarXiaoli Zhou0Hongqiang Wang1Yongqiang Cheng2Yuliang Qin3Haowen Chen4School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaThe two-dimensional angular resolution limit (ARL) of elevation and azimuth for MIMO radar with ultrawideband (UWB) noise waveforms is investigated using statistical resolution theory. First, the signal model of monostatic UWB MIMO noise radar is established in a 3D reference frame. Then, the statistical angular resolution limits (SARLs) of two closely spaced targets are derived using the detection-theoretic and estimation-theoretic approaches, respectively. The detection-theoretic approach is based on the generalized likelihood ratio test (GLRT) with given probabilities of false alarm and detection, while the estimation-theoretic approach is based on Smith’s criterion which involves the Cramér-Rao lower bound (CRLB). Furthermore, the relationship between the two approaches is presented, and the factors affecting the SARL, that is, detection parameters, transmit waveforms, array geometry, signal-to-noise ratio (SNR), and parameters of target (i.e., radar cross section (RCS) and direction), are analyzed. Compared with the conventional radar resolution theory defined by the ambiguity function, the SARL reflects the practical resolution ability of radar and can provide an optimization criterion for radar system design.http://dx.doi.org/10.1155/2015/906313 |
| spellingShingle | Xiaoli Zhou Hongqiang Wang Yongqiang Cheng Yuliang Qin Haowen Chen Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar International Journal of Antennas and Propagation |
| title | Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar |
| title_full | Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar |
| title_fullStr | Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar |
| title_full_unstemmed | Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar |
| title_short | Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar |
| title_sort | statistical angular resolution limit for ultrawideband mimo noise radar |
| url | http://dx.doi.org/10.1155/2015/906313 |
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