滨海环境中分段波状海杂波的分布分析

M. D. Strempel, J. D. Villiers, J. Cilliers, A. McDonald
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引用次数: 2

摘要

本文研究了周期波内各波段的海杂波幅值分布。低掠掠角的x波段海杂波数据来自CSIR在线数据库。数据集包含低掠掠角海杂波的固定频率脉冲雷达回波,脉冲重复频率(PRF)为2.5kHz。处理包括通过旋转校正数据,使得数据中的周期波相位结构随时间排列并平行于长轴。然后,将数据和波结构分割成多个分区,其中每个分区代表距离维中波相位的一个部分。然后根据k分布拟合这些分段。结果表明,该方法可以准确地描述波浪的特定部分,减小了实际分布与估计分布之间的误差。改进的概率密度函数(PDF)表示将允许在沿海环境中进行更准确的数据分析和数据生成,可用于开发新的探测器,以及模拟其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distribution analysis of segmented wave sea clutter in littoral environments
This paper investigates the littoral sea clutter amplitude distributions associated with individual segments within a periodic wave. Low grazing angle, X-Band sea clutter data, obtained from the CSIR online database was utilised for this study. The dataset contains fixed frequency pulsed radar returns of low grazing angle sea clutter with a pulse repetition frequency (PRF) of 2.5kHz. The processing involves correcting the data by means of rotation such that the periodic wave phase structures within the data align over time and are parallel to the longtime axis. Thereafter, the data and thus the wave structures, are segmented into multiple partitions, where each partition represents a section of the wave phase in the range dimension. These segments are then fitted against the K-distribution. It is shown that the approach can accurately describe specific sections of the wave with a reduced error between actual and estimated distributions. The improved probability density function (PDF) representation will allow for more accurate data analysis and data generation in littoral environments, which can be used for the development of new detectors, as well as the simulation of their performance.
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