Analytic Expressions for Radar Sea Clutter WSSUS Scattering Functions
Bello’s stochastic linear time-varying system theory has been widely used in the wireless communications literature to characterize multipath fading channel statistics. In the context of radar backscatter, this formulation allows for statistical characterization of distributed radar targets in range...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/21/9/915 |
| _version_ | 1798040939599495168 |
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| author | Corey Cooke |
| author_facet | Corey Cooke |
| author_sort | Corey Cooke |
| collection | DOAJ |
| description | Bello’s stochastic linear time-varying system theory has been widely used in the wireless communications literature to characterize multipath fading channel statistics. In the context of radar backscatter, this formulation allows for statistical characterization of distributed radar targets in range and Doppler using wide-sense stationary uncorrelated scattering (WSSUS) models. WSSUS models separate the channel from the effect of the waveform and receive filter, making it an ideal formulation for waveform design problems. Of particular interest in the radar waveform design community is the ability to suppress unwanted backscatter from the earth’s surface, known as clutter. Various methods for estimating WSSUS system functions have been studied in the literature, but to date no analytic expressions for radar surface clutter range-Doppler scattering functions exist. In this work we derive a frequency-selective generalization of the Jakes Doppler spectrum model, which is widely used in the wireless communications literature, adapt it for use in radar problems, and show how the maximum entropy method can be used to extend this model to account for internal clutter motion. Validation of the spectral and stationarity properties of the proposed model against a subset of the Australian Ingara sea clutter database is performed, and good agreement is shown. |
| first_indexed | 2024-04-11T22:14:35Z |
| format | Article |
| id | doaj.art-4c086dd7b6db4e8682874721cbb1eaab |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T22:14:35Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-4c086dd7b6db4e8682874721cbb1eaab2022-12-22T04:00:27ZengMDPI AGEntropy1099-43002019-09-0121991510.3390/e21090915e21090915Analytic Expressions for Radar Sea Clutter WSSUS Scattering FunctionsCorey Cooke0Applied Technology, Inc., King George, VA 22485, USABello’s stochastic linear time-varying system theory has been widely used in the wireless communications literature to characterize multipath fading channel statistics. In the context of radar backscatter, this formulation allows for statistical characterization of distributed radar targets in range and Doppler using wide-sense stationary uncorrelated scattering (WSSUS) models. WSSUS models separate the channel from the effect of the waveform and receive filter, making it an ideal formulation for waveform design problems. Of particular interest in the radar waveform design community is the ability to suppress unwanted backscatter from the earth’s surface, known as clutter. Various methods for estimating WSSUS system functions have been studied in the literature, but to date no analytic expressions for radar surface clutter range-Doppler scattering functions exist. In this work we derive a frequency-selective generalization of the Jakes Doppler spectrum model, which is widely used in the wireless communications literature, adapt it for use in radar problems, and show how the maximum entropy method can be used to extend this model to account for internal clutter motion. Validation of the spectral and stationarity properties of the proposed model against a subset of the Australian Ingara sea clutter database is performed, and good agreement is shown.https://www.mdpi.com/1099-4300/21/9/915airborne radarradar clutterradar signal processingstochastic systemstime-varying systemsmaximum entropy |
| spellingShingle | Corey Cooke Analytic Expressions for Radar Sea Clutter WSSUS Scattering Functions Entropy airborne radar radar clutter radar signal processing stochastic systems time-varying systems maximum entropy |
| title | Analytic Expressions for Radar Sea Clutter WSSUS Scattering Functions |
| title_full | Analytic Expressions for Radar Sea Clutter WSSUS Scattering Functions |
| title_fullStr | Analytic Expressions for Radar Sea Clutter WSSUS Scattering Functions |
| title_full_unstemmed | Analytic Expressions for Radar Sea Clutter WSSUS Scattering Functions |
| title_short | Analytic Expressions for Radar Sea Clutter WSSUS Scattering Functions |
| title_sort | analytic expressions for radar sea clutter wssus scattering functions |
| topic | airborne radar radar clutter radar signal processing stochastic systems time-varying systems maximum entropy |
| url | https://www.mdpi.com/1099-4300/21/9/915 |
| work_keys_str_mv | AT coreycooke analyticexpressionsforradarseaclutterwssusscatteringfunctions |