Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar Applications
This paper describes a methodological analysis of the Brillouin precursor formation to understand the impairments undergone by like-noise and random noise waveforms propagating through naturally dispersive media commonly found in radar applications. By means of a frequency-domain methodology based o...
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| Format: | Article |
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MDPI AG
2023-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/23/9447 |
| _version_ | 1797399590146670592 |
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| author | Ana Vazquez Alejos Muhammad Dawood |
| author_facet | Ana Vazquez Alejos Muhammad Dawood |
| author_sort | Ana Vazquez Alejos |
| collection | DOAJ |
| description | This paper describes a methodological analysis of the Brillouin precursor formation to understand the impairments undergone by like-noise and random noise waveforms propagating through naturally dispersive media commonly found in radar applications. By means of a frequency-domain methodology based on considering the frequency response of the medium under study, the effect of these dispersive media on the evolution of an input signal can be seen as frequency filtering. The simulations were performed at a center frequency of 1.5 GHz and for a signal bandwidth of 3 GHz. Four random noise signals were considered: Barker codes, PRBS codes, Frank codes, Costas codes and additive white Gaussian noise. The experienced impairments were assessed in terms of cross-correlation function (CCF) degradation. The differences in the behavior of each type of phase and frequency coded signal to face the dispersive propagation have been demonstrated in terms of parameters used for information retrieval: peak amplitude decay, CCF secondary sidelobe level and multipath detectability. Finally, a frequency filtering approach is proposed to mitigate the impairments due to dispersive propagation under multipath conditions. |
| first_indexed | 2024-03-09T01:43:17Z |
| format | Article |
| id | doaj.art-a8002f5892994f12a478595e6547c0ec |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T01:43:17Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a8002f5892994f12a478595e6547c0ec2023-12-08T15:26:02ZengMDPI AGSensors1424-82202023-11-012323944710.3390/s23239447Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar ApplicationsAna Vazquez Alejos0Muhammad Dawood1atlanTTic, Escola de Enxeñaría de Telecomunicación, Universidade de Vigo, 36310 Vigo, SpainKlipsch School of ECE, New Mexico State University, Thomas & Brown Hall, Las Cruces, NM 88003-8001, USAThis paper describes a methodological analysis of the Brillouin precursor formation to understand the impairments undergone by like-noise and random noise waveforms propagating through naturally dispersive media commonly found in radar applications. By means of a frequency-domain methodology based on considering the frequency response of the medium under study, the effect of these dispersive media on the evolution of an input signal can be seen as frequency filtering. The simulations were performed at a center frequency of 1.5 GHz and for a signal bandwidth of 3 GHz. Four random noise signals were considered: Barker codes, PRBS codes, Frank codes, Costas codes and additive white Gaussian noise. The experienced impairments were assessed in terms of cross-correlation function (CCF) degradation. The differences in the behavior of each type of phase and frequency coded signal to face the dispersive propagation have been demonstrated in terms of parameters used for information retrieval: peak amplitude decay, CCF secondary sidelobe level and multipath detectability. Finally, a frequency filtering approach is proposed to mitigate the impairments due to dispersive propagation under multipath conditions.https://www.mdpi.com/1424-8220/23/23/9447binary codecorrelation functiondispersive propagationfrequency domainmitigationmultipath |
| spellingShingle | Ana Vazquez Alejos Muhammad Dawood Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar Applications Sensors binary code correlation function dispersive propagation frequency domain mitigation multipath |
| title | Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar Applications |
| title_full | Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar Applications |
| title_fullStr | Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar Applications |
| title_full_unstemmed | Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar Applications |
| title_short | Multipath Detection and Mitigation of Random Noise Signals Propagated through Naturally Lossy Dispersive Media for Radar Applications |
| title_sort | multipath detection and mitigation of random noise signals propagated through naturally lossy dispersive media for radar applications |
| topic | binary code correlation function dispersive propagation frequency domain mitigation multipath |
| url | https://www.mdpi.com/1424-8220/23/23/9447 |
| work_keys_str_mv | AT anavazquezalejos multipathdetectionandmitigationofrandomnoisesignalspropagatedthroughnaturallylossydispersivemediaforradarapplications AT muhammaddawood multipathdetectionandmitigationofrandomnoisesignalspropagatedthroughnaturallylossydispersivemediaforradarapplications |