© The Institution of Engineering and Technology
This study 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, 15–45°. 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.
References
-
-
1)
-
6. Rosenberg, L., Watts, S., Bocquet, S., et al: ‘Characterisation of the Ingara HGA dataset’. IEEE Int. Radar Conf., May 2015.
-
2)
-
18. Rosenberg, L., Watts, S., Bocquet, S.: ‘Application of the K + Rayleigh distribution to high grazing angle sea-clutter’. Int. Conf. Radar 2014, October 2014.
-
3)
-
19. CSIR, small boat detection research. .
-
4)
-
15. Crisp, D.J., Kyprianou, R., Rosenberg, L., et al: ‘Modelling X-band sea clutter at moderate grazing angles’. IEEE Int. Radar Conf., September 2008, pp. 596–601.
-
5)
-
3. Watts, S.: ‘A new method for the simulation of coherent sea clutter’. IEEE Radar Conf., May 2011, pp. 52–57.
-
6)
-
17. , 1990, vol. 2, pp. 177–186.
-
7)
-
9. Rozenberg, A.D., Quigley, D.C., Melville, W.K.: ‘Laboratory study of polarized microwave scattering by surface waves at grazing incidence: the influence of long waves’, IEEE Trans. Geosci. Remote Sens., 1996, 34, (6), pp. 1331–1342 (doi: 10.1109/36.544557).
-
8)
-
7. Greco, M., Bordoni, F., Gini, F.: ‘X-band sea clutter non-stationarity: the influence of long waves’, IEEE J. Ocean Eng., Spec. Issue ‘Non-Rayleigh Reverberation and Clutter’, 2004, 29, (2), pp. 269–283, .
-
9)
-
5. Watts, S., Rosenberg, L., Ritchie, M.: ‘Characterising the Doppler spectra of high grazing angle sea clutter’. IEEE Int. Radar Conf., October 2014.
-
10)
-
1. Watts, S., Rosenberg, L., Ritchie, M., et al: ‘The Doppler spectra of medium grazing angle sea clutter; part 1: characterisation’, .
-
11)
-
11. Davidson, G.: ‘Simulation of coherent sea clutter’, IET Radar Sonar Navig., 2010, 4, (2), pp. 168–177 ( (doi: 10.1049/iet-rsn.2009.0075).
-
12)
-
16. Rosenberg, L., Watts, S., 2013.
-
13)
-
10. Trizna, D.B.: ‘A model for Doppler peak spectral shift for low grazing angle sea scatter’, IEEE J. Ocean. Eng., 1985, 10, (4), pp. 368–375 (doi: 10.1109/JOE.1985.1145132).
-
14)
-
13. Bocquet, S., Rosenberg, L., Watts, S.: ‘Simulation of coherent sea clutter with inverse gamma texture’. Int. Conf. Radar 2014, October 2014.
-
15)
-
8. Lee, P.H.Y., Barter, J.D., Beach, K.L., et al: ‘Power spectral lineshapes of microwave radiation backscattered from sea surfaces at small grazing angles’, IEE Proc. F, 1995, 142, (5), pp. 252–258.
-
16)
-
4. Watts, S.: ‘Modeling and simulation of coherent sea clutter’, IEEE Trans. AES, 2012, 48, (4), pp. 3303–3317.
-
17)
-
20. Ritchie, M.A., Watts, S., Rosenberg, L., et al: ‘Statistical comparison of low and high grazing angle sea clutter’. Int. Conf. Radar 2014, October 2014.
-
18)
-
12. Miller, R.J.: ‘Variability in spectra of low-grazing angle sea clutter returns, NATO/RTO publications’. Proc. of SET Symp. on Low Grazing Angle Clutter: Its Characterisation, Measurement and Application, April 2000.
-
19)
-
14. Crisp, D.J., Rosenberg, L., Stacy, N.J.: ‘Modelling ocean backscatter in the plateau region at X-band with the K-distribution’. , 2015.
-
20)
-
2. Crisp, D.J., Stacy, N.J., Goh, A.S.: ‘Ingara medium-high incidence angle polarimetric sea clutter measurements and analysis’. , February 2006.
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