Watts, S;
Rosenberg, L;
Bocquet, S;
Ritchie, MA;
(2016)
The Doppler Spectra of Medium Grazing Angle Sea Clutter; Part 2: Model Assessment and Simulation.
IET RSN
, 10
(1)
pp. 32-42.
10.1049/iet-rsn.2015.0149.
Preview |
Text
Doppler spectra IET RSN 2015 Part2 Revised Final.pdf Download (1MB) | Preview |
Abstract
This paper is concerned with the assessment of models of Doppler spectra, derived from high range resolution X-band radar sea clutter observed from an airborne platform over the range of grazing angles, 15 to 45. When looking up or downwind these models represent the strong correlation between mean Doppler shift and local spectrum intensity. When combined with random fluctuations of spectrum width, these characteristics give the spectra a temporal and spatial variability. The models are used to predict clutter spectrum statistics as a function of Doppler frequency and these are compared with statistics derived from the original data. It is also shown how realistic range-varying coherent clutter returns can be simulated using the models.
| Type: | Article |
|---|---|
| Title: | The Doppler Spectra of Medium Grazing Angle Sea Clutter; Part 2: Model Assessment and Simulation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1049/iet-rsn.2015.0149 |
| Publisher version: | http://dx.doi.org/10.1049/iet-rsn.2015.0149 |
| Language: | English |
| Additional information: | This paper is a postprint of a paper submitted to and accepted for publication in IET Radar, Sonar and Navigation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library |
| Keywords: | radar, sea clutter, Doppler, statistics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1471572 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
