Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar
Tracking a target is achieved by estimating its range and velocity, and this process has two types: Bistatic Tracking and Cartesian Tracking. In a passive radar system, the bistatic tracking is achieved by processing the bistatic geometry “One non-cooperative transmitter and one receiver” for estima...
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| Format: | Article |
| Language: | Arabic |
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Higher Commission for Scientific Research
2025-01-01
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| Series: | Syrian Journal for Science and Innovation |
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| Online Access: | https://journal.hcsr.gov.sy/archives/1500 |
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| author | Anas Almanofi Ali Kazem |
| author_facet | Anas Almanofi Ali Kazem |
| author_sort | Anas Almanofi |
| collection | DOAJ |
| description | Tracking a target is achieved by estimating its range and velocity, and this process has two types: Bistatic Tracking and Cartesian Tracking. In a passive radar system, the bistatic tracking is achieved by processing the bistatic geometry “One non-cooperative transmitter and one receiver” for estimating the bistatic range and velocity. Whereas the Cartesian tracking is achieved by processing the bistatic geometry “Multiple non-cooperative transmitters or multiple receivers” for estimating the Cartesian range and velocity. Processing the bistatic geometry (Multiple non-cooperative transmitters or multiple receivers) has the following disadvantages: Extra signal processing and a ghost target phenomenon, compared with processing the bistatic geometry (One TX and One RX). In this paper, we propose a method for estimating only the Cartesian velocity of a maneuvering target, by using a particle filter with a passive radar that has the bistatic geometry “One (Digital Video Broadcasting-Terrestrial (DVB-T)) transmitter and one receiver”. This process is achieved by using two consecutive particle filters, whereas we depend on this filter as an estimation tool because of its efficiency, compared with other estimation tools. The first filter estimates the parameters of the target’s echo signal (i.e., Amplitude, Phase, Doppler Frequency, and Time delay), and the second filter estimates the target’s velocity depending on the outputs of the first filter (i.e., Doppler Frequency and Time Delay). The theoretical analysis of the proposed method is presented, and its efficiency is verified by simulating the mentioned passive radar and comparing the simulation results with the results of other researches. |
| format | Article |
| id | doaj-art-9463c32fcb8848eebdd50f6b17e60fc5 |
| institution | Kabale University |
| issn | 2959-8591 |
| language | Arabic |
| publishDate | 2025-01-01 |
| publisher | Higher Commission for Scientific Research |
| record_format | Article |
| series | Syrian Journal for Science and Innovation |
| spelling | doaj-art-9463c32fcb8848eebdd50f6b17e60fc52025-01-26T08:08:27ZaraHigher Commission for Scientific ResearchSyrian Journal for Science and Innovation2959-85912025-01-013110.5281/zenodo.14723146Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive RadarAnas Almanofi 0 Ali Kazem1Department of Communication Engineering, Higher Institute for Applied Sciences and Technology (HIAST), Damascus, SyriaDepartment of Communication Engineering, Higher Institute for Applied Sciences and Technology (HIAST), Damascus, SyriaTracking a target is achieved by estimating its range and velocity, and this process has two types: Bistatic Tracking and Cartesian Tracking. In a passive radar system, the bistatic tracking is achieved by processing the bistatic geometry “One non-cooperative transmitter and one receiver” for estimating the bistatic range and velocity. Whereas the Cartesian tracking is achieved by processing the bistatic geometry “Multiple non-cooperative transmitters or multiple receivers” for estimating the Cartesian range and velocity. Processing the bistatic geometry (Multiple non-cooperative transmitters or multiple receivers) has the following disadvantages: Extra signal processing and a ghost target phenomenon, compared with processing the bistatic geometry (One TX and One RX). In this paper, we propose a method for estimating only the Cartesian velocity of a maneuvering target, by using a particle filter with a passive radar that has the bistatic geometry “One (Digital Video Broadcasting-Terrestrial (DVB-T)) transmitter and one receiver”. This process is achieved by using two consecutive particle filters, whereas we depend on this filter as an estimation tool because of its efficiency, compared with other estimation tools. The first filter estimates the parameters of the target’s echo signal (i.e., Amplitude, Phase, Doppler Frequency, and Time delay), and the second filter estimates the target’s velocity depending on the outputs of the first filter (i.e., Doppler Frequency and Time Delay). The theoretical analysis of the proposed method is presented, and its efficiency is verified by simulating the mentioned passive radar and comparing the simulation results with the results of other researches.https://journal.hcsr.gov.sy/archives/1500passive radarmaneuvering targetparticle filter |
| spellingShingle | Anas Almanofi Ali Kazem Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar Syrian Journal for Science and Innovation passive radar maneuvering target particle filter |
| title | Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar |
| title_full | Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar |
| title_fullStr | Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar |
| title_full_unstemmed | Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar |
| title_short | Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar |
| title_sort | using particle filter for estimating velocity of maneuvering target being tracked by passive radar |
| topic | passive radar maneuvering target particle filter |
| url | https://journal.hcsr.gov.sy/archives/1500 |
| work_keys_str_mv | AT anasalmanofi usingparticlefilterforestimatingvelocityofmaneuveringtargetbeingtrackedbypassiveradar AT alikazem usingparticlefilterforestimatingvelocityofmaneuveringtargetbeingtrackedbypassiveradar |