Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter
In this paper, the problem of low probability of intercept (LPI)-based radar waveform design for distributed multiple-radar system (DMRS) is studied, which consists of multiple radars coexisting with a wireless communication system in the same frequency band. The primary objective of the multiple-ra...
| 發表在: | Entropy |
|---|---|
| Main Authors: | , , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
MDPI AG
2018-03-01
|
| 主題: | |
| 在線閱讀: | http://www.mdpi.com/1099-4300/20/3/197 |
| _version_ | 1852649950685429760 |
|---|---|
| author | Chenguang Shi Fei Wang Sana Salous Jianjiang Zhou |
| author_facet | Chenguang Shi Fei Wang Sana Salous Jianjiang Zhou |
| author_sort | Chenguang Shi |
| collection | DOAJ |
| container_title | Entropy |
| description | In this paper, the problem of low probability of intercept (LPI)-based radar waveform design for distributed multiple-radar system (DMRS) is studied, which consists of multiple radars coexisting with a wireless communication system in the same frequency band. The primary objective of the multiple-radar system is to minimize the total transmitted energy by optimizing the transmission waveform of each radar with the communication signals acting as interference to the radar system, while meeting a desired target detection/characterization performance. Firstly, signal-to-clutter-plus-noise ratio (SCNR) and mutual information (MI) are used as the practical metrics to evaluate target detection and characterization performance, respectively. Then, the SCNR- and MI-based optimal radar waveform optimization methods are formulated. The resulting waveform optimization problems are solved through the well-known bisection search technique. Simulation results demonstrate utilizing various examples and scenarios that the proposed radar waveform design schemes can evidently improve the LPI performance of DMRS without interfering with friendly communications. |
| format | Article |
| id | doaj-art-a3b2cf2cdd57455da7e78d2102be4dff |
| institution | Directory of Open Access Journals |
| issn | 1099-4300 |
| language | English |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-a3b2cf2cdd57455da7e78d2102be4dff2025-08-19T21:41:32ZengMDPI AGEntropy1099-43002018-03-0120319710.3390/e20030197e20030197Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in ClutterChenguang Shi0Fei Wang1Sana Salous2Jianjiang Zhou3Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaKey Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaSchool of Engineering and Computing Sciences, Durham University, Durham DH1 3DE, UKKey Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaIn this paper, the problem of low probability of intercept (LPI)-based radar waveform design for distributed multiple-radar system (DMRS) is studied, which consists of multiple radars coexisting with a wireless communication system in the same frequency band. The primary objective of the multiple-radar system is to minimize the total transmitted energy by optimizing the transmission waveform of each radar with the communication signals acting as interference to the radar system, while meeting a desired target detection/characterization performance. Firstly, signal-to-clutter-plus-noise ratio (SCNR) and mutual information (MI) are used as the practical metrics to evaluate target detection and characterization performance, respectively. Then, the SCNR- and MI-based optimal radar waveform optimization methods are formulated. The resulting waveform optimization problems are solved through the well-known bisection search technique. Simulation results demonstrate utilizing various examples and scenarios that the proposed radar waveform design schemes can evidently improve the LPI performance of DMRS without interfering with friendly communications.http://www.mdpi.com/1099-4300/20/3/197radar waveform designsignal-to-clutter-plus-noise ratio (SCNR)mutual information (MI)low probability of intercept (LPI)spectral coexistencedistributed multiple-radar system (DMRS) |
| spellingShingle | Chenguang Shi Fei Wang Sana Salous Jianjiang Zhou Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter radar waveform design signal-to-clutter-plus-noise ratio (SCNR) mutual information (MI) low probability of intercept (LPI) spectral coexistence distributed multiple-radar system (DMRS) |
| title | Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter |
| title_full | Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter |
| title_fullStr | Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter |
| title_full_unstemmed | Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter |
| title_short | Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter |
| title_sort | low probability of intercept based radar waveform design for spectral coexistence of distributed multiple radar and wireless communication systems in clutter |
| topic | radar waveform design signal-to-clutter-plus-noise ratio (SCNR) mutual information (MI) low probability of intercept (LPI) spectral coexistence distributed multiple-radar system (DMRS) |
| url | http://www.mdpi.com/1099-4300/20/3/197 |
| work_keys_str_mv | AT chenguangshi lowprobabilityofinterceptbasedradarwaveformdesignforspectralcoexistenceofdistributedmultipleradarandwirelesscommunicationsystemsinclutter AT feiwang lowprobabilityofinterceptbasedradarwaveformdesignforspectralcoexistenceofdistributedmultipleradarandwirelesscommunicationsystemsinclutter AT sanasalous lowprobabilityofinterceptbasedradarwaveformdesignforspectralcoexistenceofdistributedmultipleradarandwirelesscommunicationsystemsinclutter AT jianjiangzhou lowprobabilityofinterceptbasedradarwaveformdesignforspectralcoexistenceofdistributedmultipleradarandwirelesscommunicationsystemsinclutter |
