星载雷达高度计信号处理
THE SIGNAL PROCESSING IN SATELLITE-BORNE RADAR ALTIMETER
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摘要: 本文研究了星载雷达高度计全去倾斜模型下的次最佳最大似然估值(Suboptimal Maximum Likelihood Estimation,SMLE)算法和实现途径。重点讨论了回波起伏和接收机噪声对高度和斜率两个参数估值精度的影响,得出了一些简单明了的结论。仿真结果验证了这些结论的正确性。Abstract: A Suboptimal Maximum Likelihood Estimation(SMLE) algorithm based on full-deramp model and its implementation in satellite-borne radar altimeter are presented in this paper. The influence of both the return fluctuation and the receiver noise on the height and slope estimation precision are discussed in details. Some conclusions are obtained and verified by the computer simulation results.
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Brown G S. IEEE Trans. on AP, 1977, AY-25(1): 67-74; erratum in IEEE Trans. on AP, 1980, AP-28(6 ): 943-948.[2]Chen Shiping. Int[J].J. Remote Sensing.1990, 11 (4):561-575[3]Hayne G S. Initial development of a method of significant wave-height estimation for GEOS-3, NASA Contract Report CR-141425. August 1977.[4]Abadie J, Lamboley M, et al. POSEIDON radar altimeter description and signal processing, Proc. of IGARSS87 Symposium, Ann Arbor: 18-21, May 1987, 153-161.[5]Fan Laiyao, Ji Hongbing, Dong Yan. A SMLE Algorithm Based on Full-Deramp Model and its Implementation, Std International Symposium on NoiseClutter Rejection in RadarsImaging Sensors, ISNCR-94, Japan: 15th-17th November 1994.[6]TMS320C3X Users Guide, Texas Instruments, 1990. -
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