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A Novel Approach for Jamming and Tracking of Mobile Objects

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Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 309))

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Abstract

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.

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References

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Correspondence to Aradhana Misra .

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© 2015 Springer India

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Misra, A., Rout, N.K., Dash, K. (2015). A Novel Approach for Jamming and Tracking of Mobile Objects. In: Jain, L., Patnaik, S., Ichalkaranje, N. (eds) Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 309. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2009-1_25

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  • DOI: https://doi.org/10.1007/978-81-322-2009-1_25

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2008-4

  • Online ISBN: 978-81-322-2009-1

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