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[转载]【雷达与对抗】【2009.08】脉冲多普勒雷达系统的多普勒频率估计

已有 1456 次阅读 2019-2-11 08:58 |系统分类:科研笔记|文章来源:转载


本文为土耳其比尔肯大学(作者:Hamza So˘gancı)的硕士论文,共77页。

 

脉冲多普勒雷达系统是最常见的雷达系统之一,尤其是在军事应用中。这些雷达主要用于估计目标的两个基本参数:距离和多普勒频率。估计这些参数的常用方法是匹配滤波、脉冲多普勒处理,最后是恒虚警率(CFAR)算法。然而,由于脉冲多普勒处理后得到的波形结构,CFAR算法往往不能准确地找出目标的多普勒频率

 

本文提出了两种不同的算法,即最大选择法maximumselection)和连续对消法successivecancelation),并将其性能与最优极大似然解进行了比较。这些算法都利用了在多普勒频域内已知脉冲多普勒处理后得到的点目标波形结构的信息。最大选择法基本上选择幅度最大的多普勒频率单元作为目标,而连续对消法是一种迭代算法。在每次迭代中,它都会找到一个目标,使得特定的代价函数最小化,直到没有目标为止。研究了这些算法在不同点目标情况下的性能,并在一些实际目标模型上对算法的性能进行了测试。基于这些观测结果,当需要低复杂度算法时,最大选择是高信噪比下的一个好选择,而连续对消在所有信噪比下几乎都能达到最优解。

 

Pulse Doppler radar systems are one of themost common types of radar systems, especially in military applications. Theseradars are mainly designed to estimate two basic parameters of the targets,range and Doppler frequency. A common procedure of estimating those parametersis matched filtering, followed by pulse Doppler processing, and finally one ofthe several constant false alarm rate (CFAR) algorithms. However, because ofthe structure of the waveform obtained after pulse Doppler processing, CFARalgorithms cannot always find the Doppler frequency of a target accurately. Inthis thesis, two different algorithms, maximum selection and successivecancelation, are proposed and their performances are compared with the optimalmaximum likelihood (ML) solution. These proposed algorithms both utilize theadvantage of knowing the waveform structure of a point target obtained afterpulse Doppler processing in the Doppler frequency domain. Maximum selectionbasically chooses the Doppler frequency cells with the largest amplitudes to bethe ones where there is a target. On the other hand, successive cancelation isan iterative algorithm. In each iteration, it finds a target that minimizes aspecific cost function, until there are no more targets. The performances ofthese algorithms are investigated for several different point target scenarios.Moreover, the performances of the algorithms are tested on some realistictarget models. Based on all those observations, it is concluded that maximumselection is a good choice for high SNR values when a low-complexity algorithmis needed, on the other hand, successive cancelation performs almost as well asthe optimal solution at all SNR values.

 

引言

1.1 本项目研究目标与贡献

1.2 本文组织结构

脉冲多普勒雷达系统目标检测基础

2.1 雷达波形

2.2 匹配滤波与脉冲多普勒处理

2.3 目标检测与CFAR算法

目标多普勒频率估计

3.1 多普勒域点目标的信号模型

3.2 目标多普勒频率的最优估计

3.3 次最优求解方法

算法性能评估

4.1 系统参数定义

4.2 仿真场景

基于实际目标模型的算法性能

5.1 实际目标模型

5.2 最优解与实际目标的连续对消算法

结论与未来研究工作展望


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