宽带雷达杂波仿真及海杂波预测方法研究的开题报告.docx

宽带雷达杂波仿真及海杂波预测方法研究的开题报告 摘要： 随着宽带雷达技术的逐渐发展，可用于海洋背景下的探测、识别和定位的宽带雷达越来越受到关注。但宽带雷达系统在海洋环境中的信号传输和处理面临诸多挑战，其中最主要的问题是海杂波的干扰。本论文旨在研究宽带雷达杂波的仿真方法并构建一种海杂波预测模型，为宽带雷达在海洋环境下的应用提供参考。 本论文分为两个主要部分。首先，探讨了宽带雷达系统的原理、信号特点和海杂波特征。其次，针对海杂波的干扰问题，提出了一种基于神经网络的海杂波预测模型，并对模型进行了实验验证。实验结果表明，所提出的模型能够有效地预测海杂波的强度和频率分布，并对宽带雷达系统在海洋环境下的应用提供了一定的参考价值。 关键词：宽带雷达、海洋、杂波仿真、海杂波预测、神经网络 Abstract: With the gradual development of broadband radar technology, broadband radar systems used for detection, identification and positioning in marine backgrounds have attracted more and more attention. However, broadband radar systems face many challenges in signal transmission and processing in the marine environment, the most important of which is interference from sea clutter. This paper aims to study the simulation method of broadband radar clutter and construct a sea clutter prediction model to provide reference for the application of broadband radar in marine environments. This paper is divided into two main parts. First, the principles, signal characteristics, and sea clutter features of broadband radar systems are discussed. Secondly, a sea clutter prediction model based on neural network is proposed for the interference problem of sea clutter, and the model is experimentally verified. The experimental results show that the proposed model can effectively predict the intensity and frequency distribution of sea clutter, and provide some reference value for the application of broadband radar systems in marine environments. Keywords: Broadband radar, marine, clutter simulation, sea clutter prediction, neural network