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Information Journal Paper

Title

Designing Radar and IR Sensors Data Fusion System for Target Tracking in Noise Jamming Conditions

Pages

  1-10

Abstract

 Enhancing accuracy and intelligence of military equipment and systems are of the most important priorities in defense complexes. Data fusion of different sensors for target tracking is a basic requIRement in military and civilian domains. Since received data from sensors is most of the time with great ambiguity and therefore causes trouble with decision making for military commanders especially in confrontation with jammers, considering various aspects of target and operating envIRonment can be of great help. In this paper, by using the extended Kalman filter; state vector estimation and minimum MSE matrix will be computed as the central processor entries through each of these sensors and theIR fusion will be carried out by measurement fusion methods. Afterwards, by application of Noise Jamming on each of the mentioned methods, the effect of Data fusion on the Noise Jamming condition will be evaluated. Simulation results demonstrate that with designing Data fusion system of Radar and IR sensors for target tracking in noise disturbance condition, tracking the target can be performed in spite of jamming and it would assist military commanders in decision making.

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  • Cite

    APA: Copy

    GHOLAMI, R., & OKHOVAT, M.. (2017). Designing Radar and IR Sensors Data Fusion System for Target Tracking in Noise Jamming Conditions. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 5(3 (19) ), 1-10. SID. https://sid.ir/paper/243087/en

    Vancouver: Copy

    GHOLAMI R., OKHOVAT M.. Designing Radar and IR Sensors Data Fusion System for Target Tracking in Noise Jamming Conditions. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2017;5(3 (19) ):1-10. Available from: https://sid.ir/paper/243087/en

    IEEE: Copy

    R. GHOLAMI, and M. OKHOVAT, “Designing Radar and IR Sensors Data Fusion System for Target Tracking in Noise Jamming Conditions,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 5, no. 3 (19) , pp. 1–10, 2017, [Online]. Available: https://sid.ir/paper/243087/en

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