Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics
This study deals with the problem of radar waveform design based on the weighted mutual information (MI) and the difference of two mutual information metrics (DMI) in signal-dependent interference. Since the target and clutter information are included in the received signal at the beginning of the d...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8947450 |
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| _version_ | 1832566397496983552 |
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| author | Fengming Xin Bin Wang Shumin Li Xin Song Chi-Hsu Wang |
| author_facet | Fengming Xin Bin Wang Shumin Li Xin Song Chi-Hsu Wang |
| author_sort | Fengming Xin |
| collection | DOAJ |
| description | This study deals with the problem of radar waveform design based on the weighted mutual information (MI) and the difference of two mutual information metrics (DMI) in signal-dependent interference. Since the target and clutter information are included in the received signal at the beginning of the design, DMI-based waveform is designed according to the following criterion: maximizing the MI between the received signal and target impulse response while minimizing the MI between the received signal and the clutter impulse response. This criterion is equivalent to maximizing the difference between the first MI and the second MI. Then maximizing the difference of two types of MI is used as the objective function, and the optimization model with the transmitted waveform energy constraint is established. In order to solve it, we resort to maximum marginal allocation (MMA) method to find the DMI-based waveform. Since DMI-based waveform does not allocate energy to the frequency band where the clutter power spectral density (PSD) is greater than the target PSD, we propose to weight the MI-based waveform and DMI-based waveform to synthesize the final optimal waveform. It could provide different trade-offs between two types of MI. Simulation results show the proposed algorithm is valid. |
| format | Article |
| id | doaj-art-3e56b3174685479189a615affce35af5 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-3e56b3174685479189a615affce35af52025-02-03T01:04:14ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/89474508947450Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information MetricsFengming Xin0Bin Wang1Shumin Li2Xin Song3Chi-Hsu Wang4School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, ChinaSchool of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaSchool of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, ChinaSchool of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, ChinaDepartment of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, ChinaThis study deals with the problem of radar waveform design based on the weighted mutual information (MI) and the difference of two mutual information metrics (DMI) in signal-dependent interference. Since the target and clutter information are included in the received signal at the beginning of the design, DMI-based waveform is designed according to the following criterion: maximizing the MI between the received signal and target impulse response while minimizing the MI between the received signal and the clutter impulse response. This criterion is equivalent to maximizing the difference between the first MI and the second MI. Then maximizing the difference of two types of MI is used as the objective function, and the optimization model with the transmitted waveform energy constraint is established. In order to solve it, we resort to maximum marginal allocation (MMA) method to find the DMI-based waveform. Since DMI-based waveform does not allocate energy to the frequency band where the clutter power spectral density (PSD) is greater than the target PSD, we propose to weight the MI-based waveform and DMI-based waveform to synthesize the final optimal waveform. It could provide different trade-offs between two types of MI. Simulation results show the proposed algorithm is valid.http://dx.doi.org/10.1155/2021/8947450 |
| spellingShingle | Fengming Xin Bin Wang Shumin Li Xin Song Chi-Hsu Wang Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics Complexity |
| title | Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics |
| title_full | Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics |
| title_fullStr | Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics |
| title_full_unstemmed | Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics |
| title_short | Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics |
| title_sort | adaptive radar waveform design based on weighted mi and the difference of two mutual information metrics |
| url | http://dx.doi.org/10.1155/2021/8947450 |
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