Doppler Frequency Estimation for a Maneuvering Target Being Tracked by Passive Radar Using Particle Filter
Abstract
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.
Keywords
Passive Radar; Doppler Frequency, Maneuvering Target, Maximum Likelihood Particle Filter, Minimum Variance Particle Filter
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
A. M. Almanofi, A. Malki and A. Kazem, "Doppler Frequency Estimation for a Maneuvering Target Being Tracked by Passive Radar Using Particle Filter," in Journal of Communications Software and Systems, vol. 16, no. 4, pp. 279-284, October 2020, doi: 10.24138/jcomss.v16i4.1097
@article{almanofi2020dopplerfrequency,
author = {Anas Mahmoud Almanofi and Adnan Malki and Ali Kazem},
title = {Doppler Frequency Estimation for a Maneuvering Target Being Tracked by Passive Radar Using Particle Filter},
journal = {Journal of Communications Software and Systems},
month = {10},
year = {2020},
volume = {16},
number = {4},
pages = {279--284},
doi = {10.24138/jcomss.v16i4.1097},
url = {https://doi.org/10.24138/jcomss.v16i4.1097}
}