摘要In the process of atmospheric refractivity estimation from radar sea echo, the objective function that calculates the match between the predicted and observed field plays an important role. To reduce the effect of noises from long ranges on the objective function, we present a selection method of final ranges for inversion. An adaptive objective function is introduced with a linear distance weight added to the least squares error function (LSEF). Through an evaporation duct height (EDH) retrieving process, the performance of the adaptive objective function is evaluated. The result illustrates that the present method performs better than the LSEF in EDH inversions from clutters with different clutter-to-noise ratios.
Abstract：In the process of atmospheric refractivity estimation from radar sea echo, the objective function that calculates the match between the predicted and observed field plays an important role. To reduce the effect of noises from long ranges on the objective function, we present a selection method of final ranges for inversion. An adaptive objective function is introduced with a linear distance weight added to the least squares error function (LSEF). Through an evaporation duct height (EDH) retrieving process, the performance of the adaptive objective function is evaluated. The result illustrates that the present method performs better than the LSEF in EDH inversions from clutters with different clutter-to-noise ratios.
ZHANG Jin-Peng;WU Zhen-Sen**;WANG Bo
. An Adaptive Objective Function for Evaporation Duct Estimations from Radar Sea Echo[J]. 中国物理快报, 2011, 28(3): 34301-034301.
ZHANG Jin-Peng, WU Zhen-Sen**, WANG Bo
. An Adaptive Objective Function for Evaporation Duct Estimations from Radar Sea Echo. Chin. Phys. Lett., 2011, 28(3): 34301-034301.
[1] Hitney H V and Vieth R 1990 IEEE Trans. Anten. Propagat. 38 794
[2] Rogers L T, Hattan C P and Stapleton J K 2000 Radio Sci. 35 955
[3] Rowland J R et al 1996 Battlespace Atmospherics Conference (San Diego, California 3–5 December 1996) p 155
[4] Richter J H 1994 IGRSS'94 (Pasadena, California 8–12 August 1994) p381
[5] Haack T and Burk S D 2001 J. Appl. Meteor. 40 673
[6] Gerstoft P, Rogers L T, Krolik J L and Hodgkiss W S 2003 Radio Sci. 38 8053
[7] Sheng Z, Huang S X and Zhao X F 2009 Acta Phys. Sin. 58 6627 (in Chinese)
[8] Huang S X, Zhao X F and Sheng Z 2009 Chin. Phys. B 18 5084 (in Chinese)
[9] Yardim C, Gerstoft P and Hodgkiss W S 2009 Radio Sci. 44 1008
[10] Liu A G, Cha H and Liu F 2007 Chin. J. Radio Sci. 22 867 (in Chinese)
[11] Paulus R A 1990 IEEE Trans. Anten. Propagat. 38 1765
[12] Dockery G D 1988 IEEE Trans. Anten. Propagat. 36 1464
[13] Levy M F 2000 Parabolic Equation Methods for Electromagnetic Wave Propagation (London: IEE)
[14] Dockery G D and Kuttler J R 1996 IEEE Trans. Anten. Propagat. 44 1592
[15] Reilly J P and Dockery G D 1990 IEE Proc. Radar Signal Process 137 80
2011, Vol. 28 
