Atmospheric duct estimation from multi-source radar sea clutter returns: theoretical framework and preliminary numerical results
- ISSN号:0253-505X
- 期刊名称:《海洋学报:英文版》
- 时间:0
- 分类:TN957.51[电子电信—信号与信息处理;电子电信—信息与通信工程] O212.1[理学—概率论与数理统计;理学—数学]
- 作者机构:[1]College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China, [2]State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
- 相关基金:Acknowledgments The authors thank Prof. Peter Gerstoft at the Marine Physical Laboratory, University of California, San Diego, for helpful discussions about RFC problem. The refractivity data used in this paper are acquired from Prof. Peter Gerstoft's software package SAGA. This work was supported by the National Natural Science Foundation of China (41175025) and the National Basic Research Program of China (2011CB403500).
关键词:
海杂波, 估计, 计算结果, 雷达, 大气波导, 框架, 大气折射率, 伴随方法, Atmospheric duct , Refractivity from clutter , Multi-source clutter , Adjoint method , Optimization
中文摘要:
从技术估计的喧嚷(RFC ) 的折射度从雷达海喧嚷回来降低大气的折射度。RFC 的一个重要问题是怎么使估计更柔韧。而非使用仅仅单个的横梁雷达海喧嚷回来,这份报纸提出联合多来源喧嚷力量由变化伴随途径改进检索结果的一个理论框架。伴随的推导被寓言的方程模型的分析转变在一个连续领域完成。测试理论算法,用多举起喧嚷观察的数字模拟被带。结果比使用仅仅单个的横梁证明联合二根举起横梁给更多的稳定的估计。
英文摘要:
Refractivity from clutter (RFC) technique estimates lower atmospheric refractivity from radar sea clutter returns. An important issue of RFC is how to make the estimate more robust. Rather than using only single beam radar sea clutter returns, this paper puts forward a theoretical framework of combining multi-source clutter power to improve the retrieved results by the variational adjoint approach. The derivation of the adjoint is accomplished by an analytical transformation of the parabolic equation model in a continuous domain. To test the theoretical algorithm, numerical simulations using multi-elevation clutter observations are carried. The results demonstrate that combining two elevation beams gives more stable estimate than using only single beam.