Keystone超高速目标探测中的距离补偿技术
1)阐述了雷达探测的原理，主要是对线性调频信号和脉压过程进行了深入研究。
2)对超高速目标进行建模仿真，验证了目标的超高速运动对传统检测性能的影响，分析了产生距离走动的原因。
3）针对超高速运动目标的距离走动现象，对keystone变换进行了深入研究，分析了keystone变换的三种算法：离散傅里叶变换法、Sinc插值法和Chirp-Z变换法，通过仿真验证了三种算法的作用，并对运算量进行了比较。
关键词 超高速目标 脉冲多普勒雷达 距离走动 Keystone变换
毕业论文设计说明书外文摘要
Title Distance compensation technology in ultra high speed target detection
Abstract
With the development of science and technology, the speed of aircraft and other aerial target has been more and more faster.But the ultra high-speed moving of targets will lead to range migration in the echo signal.It can seriously affect the effect of coherent integration and decrease the performance of detection .Aiming at this problem, this paper mainly studies how to correct the walking distance,the main work is as follows:
1)Introduces the principle of radar detection, especially process of linear frequency modulation signal and pulse pressure were studied.
2)An ultra high-speed moving targets echo model is established,and the paper verifies the impact of ultra-high-speed moving targets on the traditional method.Besides,the paper analyze the causes of the envelop migration,and also studies the impact of envelope migration on the pulse accumulation.
3)For range migration, keystone transform is deeply studied, and the paper discusses three methods to implement keystone transform: sinc interpolation algorithm, discrete Fourier transform algorithm and Chirp-Z transform algorithm. Theoretical analysis is given and the simulations prove the role of these algorithms . The improvement of radar detection performance after range migration correction is studied.
Keywords ultra high-speed target Pulse-Doppler radar Range migration Keystone transform
目 次
1 绪论 1
1.1 研究背景及意义 1
1.2 国内外研究现状 2
1.2.1 超高速目标回波建模 2
1.2.2 超高速目标回波距离走动补偿技术 2
1.3 论文主要章节安排 3
2 雷达检测基本原理 5
2.1 线性调频脉冲信号 5
2.2 回波信号处理原理 8
3 超高速目标的回波建模和仿真 10
3.1 目标运动模型 10
3.1.1 匀速运动模型 10
3.1.2 匀加速运动模型 10
3.2 目标回波建模与仿真分析 10
3.2.1 回波信号处理 10
3.2.2 距离走动分析 13
4 距离走动补偿算法的研究与仿真 16
4.1 引言 16
4.2 Keystone变换原理 16
4.3 Keystone变换实现算法 18
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