Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems
In this article, we propose the utilization of chaos-based frequency modulated (CBFM) waveforms for joint monostatic and bistatic radar-communication systems. Short-duration pulses generated via chaotic oscillators are used for wideband radar imaging, while information is embedded in the pulses usin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/20/4113 |
| _version_ | 1797513221105516544 |
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| author | Chandra S. Pappu Aubrey N. Beal Benjamin C. Flores |
| author_facet | Chandra S. Pappu Aubrey N. Beal Benjamin C. Flores |
| author_sort | Chandra S. Pappu |
| collection | DOAJ |
| description | In this article, we propose the utilization of chaos-based frequency modulated (CBFM) waveforms for joint monostatic and bistatic radar-communication systems. Short-duration pulses generated via chaotic oscillators are used for wideband radar imaging, while information is embedded in the pulses using chaos shift keying (CSK). A self-synchronization technique for chaotic systems decodes the information at the communication receiver and reconstructs the transmitted waveform at the bistatic radar receiver. Using a nonlinear detection scheme, we show that the CBFM waveforms closely follow the theoretical bit-error rate (BER) associated with bipolar phase-shift keying (BPSK). We utilize the same nonlinear detection scheme to optimize the target detection at the bistatic radar receiver. The ambiguity function for both the monostatic and bistatic cases resembles a thumbtack ambiguity function with a pseudo-random sidelobe distribution. Furthermore, we characterize the high-resolution imaging capability of the CBFM waveforms in the presence of noise and considering a complex target. |
| first_indexed | 2024-03-10T06:14:31Z |
| format | Article |
| id | doaj.art-a33ab60baf4c4fa8b8ab480ccf8d40a1 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T06:14:31Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a33ab60baf4c4fa8b8ab480ccf8d40a12023-11-22T19:54:22ZengMDPI AGRemote Sensing2072-42922021-10-011320411310.3390/rs13204113Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication SystemsChandra S. Pappu0Aubrey N. Beal1Benjamin C. Flores2Department of Electrical, Computer and Biomedical Engineering, Union College, Schenectady, NY 12308, USADepartment of Electrical and Computer Engineering, University of Alabama at Huntsville, Huntsville, AL 35899, USADepartment of Electrical and Computer Engineering, University of Texas at El Paso, El Paso, TX 79968, USAIn this article, we propose the utilization of chaos-based frequency modulated (CBFM) waveforms for joint monostatic and bistatic radar-communication systems. Short-duration pulses generated via chaotic oscillators are used for wideband radar imaging, while information is embedded in the pulses using chaos shift keying (CSK). A self-synchronization technique for chaotic systems decodes the information at the communication receiver and reconstructs the transmitted waveform at the bistatic radar receiver. Using a nonlinear detection scheme, we show that the CBFM waveforms closely follow the theoretical bit-error rate (BER) associated with bipolar phase-shift keying (BPSK). We utilize the same nonlinear detection scheme to optimize the target detection at the bistatic radar receiver. The ambiguity function for both the monostatic and bistatic cases resembles a thumbtack ambiguity function with a pseudo-random sidelobe distribution. Furthermore, we characterize the high-resolution imaging capability of the CBFM waveforms in the presence of noise and considering a complex target.https://www.mdpi.com/2072-4292/13/20/4113chaosfrequency modulationjoint radar-communicationbistatic radarhigh-resolution imagingnonlinear detection |
| spellingShingle | Chandra S. Pappu Aubrey N. Beal Benjamin C. Flores Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems Remote Sensing chaos frequency modulation joint radar-communication bistatic radar high-resolution imaging nonlinear detection |
| title | Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems |
| title_full | Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems |
| title_fullStr | Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems |
| title_full_unstemmed | Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems |
| title_short | Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems |
| title_sort | chaos based frequency modulation for joint monostatic and bistatic radar communication systems |
| topic | chaos frequency modulation joint radar-communication bistatic radar high-resolution imaging nonlinear detection |
| url | https://www.mdpi.com/2072-4292/13/20/4113 |
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