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Title |
Improve the Tracking of Two Crossing Targets in MIMO Radar system using MONTE CARLO -JPDA Algorithm |
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Author |
Zarai Khaireddine, Cherif Adnane |
| Citation |
Vol. 20 No. 2 pp. 155-161 |
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Abstract |
The multi-target tracking system is a new challenge for researchers in order to improve the radar system performances, since the measurements taken are generally subjected to a complex association of data, to additive noise which interrupt the received signal, to missed detection. The uncertainty of the data correlation, the real-time processing requirements and the maneuverability of the crossing targets can lead to biased or even complete corruption of the estimation results. In order to avoid most of these problems, in this paper we have improved the tracking scenario in a 2D MIMO radar system using two sensors. Indeed, a new data classification method has proposed named the probability data association filter (PDAF) is developed to combine and classify the data issue of each target .In order to optimize the estimator and reducing the calculation cost we used the Sequential MONTE CARLO algorithm (SMCA).The simulation results prove that the system designed meets the objectives set for SMCA by referring to an experimental database using the MATLAB Software Development Framework. |
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Keywords |
Tracking, MIMO Radar, Multi targets, Monte Carlo |
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