被动雷达跟踪机动目标的粒子滤波多普勒频率估计

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Communications Software and Systems Pub Date : 2020-10-08 DOI:10.24138/jcomss.v16i4.1097

Anas Mahmoud Almanofi, A. Malki, Ali Kazem

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引用次数: 1

摘要

本文采用最大似然粒子滤波器(Maximum Likelihood particle filter, MLPF)和最小方差粒子滤波器(Minimum Variance particle filter, MVPF)两种粒子滤波器估计被动雷达跟踪机动目标的多普勒频率。通过对具有双基地几何形状的“数字视频广播-地面(DVB-T)发射机/接收机”的无源雷达系统与这两种类型进行仿真，我们可以估计机动目标的多普勒频率，并对仿真结果进行比较，以确定哪种类型的性能更好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Doppler Frequency Estimation for a Maneuvering Target Being Tracked by Passive Radar Using Particle Filter

In this paper, we estimate Doppler frequency of a maneuvering target being tracked by passive radar using two types of particle filter, the first is “Maximum Likelihood Particle Filter” (MLPF) and the second is “Minimum Variance Particle filter” (MVPF). By simulating the passive radar system that has the bistatic geometry “Digital Video Broadcasting-Terrestrial (DVB-T) transmitter / receiver” with these two types, we can estimate the Doppler frequency of the maneuvering target and compare the simulation results for deciding which type gives better performance.

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来源期刊

Journal of Communications Software and Systems Engineering-Electrical and Electronic Engineering

CiteScore

2.00

自引率

14.30%

发文量

审稿时长

8 weeks