A Novel Approach for Jamming and Tracking of Mobile Objects

  • Aradhana Misra
  • Nirmal Kumar Rout
  • Kaustav Dash
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 309)


An adaptive algorithm called the least mean square (LMS) is employed to study jamming and tracking of mobile objects. The concepts of antenna array, adaptive antenna array and smart antenna have been employed in the proposed method. The focus is on the adaptive jamming technique. The LMS adaptive algorithm is used to reject a particular direction signal. The proposed approach is also used to track the moving object by projecting the main beam towards the target, then estimate its next position and track the object for a known value of Azimuthal and elevation angular position. While estimating the new position of the target by comparing the previous and present value of echo signal, main signal get interference from noise signal. Here, the main objective is to make an algorithm that can track the target, estimate its new position and increase signal to noise ratio of the system. Detailed simulation has been carried out to validate the proposed method using the MATLAB.


Jamming Tracking LMS Adaptive algorithm Adaptive filters 


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Copyright information

© Springer India 2015

Authors and Affiliations

  • Aradhana Misra
    • 1
  • Nirmal Kumar Rout
    • 1
  • Kaustav Dash
    • 2
  1. 1.School of Electronics EngineeringKIIT UniversityBhubaneswarIndia
  2. 2.GITAMBhubaneswarIndia

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