海洋环境探测分析雷达远距离回波信号的谱处理

Spectral Processing for Remote SESAR Returns

利用海洋环境探测分析雷达提取海况参数的过程中，谱处理有着重要的意义。本文采用简洁的奇异值分解法进行定阶，并用一种新颖的噪声补偿措施来改进Ｂｕｒｇ算法。计算机仿真处理和实测数据处理均表明：该方法不仅能提取出傅里叶变换（ＦＴ）方法无从提取的信号，而且比Ｂｕｒｇ算法处理效果更好，更准确。

During the process of using SESAR to derive sea-state parameters, spectral processing has great importance. This paper presents a simple, robust Singular Value Decomposition (SVD) method to select model order, and a novel method with noise compensation to improve Burg algorithm. Both computer simulation and actual data processing indicate that the methods not only derive the signal which FT method can't derive, but also give more accurate processing result than Burg algorithm.