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Analysis of Object Identification Using Quadrature Bank Filter in Wavelet Transforms

  • C. Berin JonesEmail author
  • G. G. Bremiga
Conference paper
  • 17 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1090)

Abstract

Nowadays guided missiles are widely used in military airbase. Weaponry advancements are developing in the last few decades. It has become an aggressive threat from the enemies in the battlefield. By using the effective electronic countermeasure (ECM) toward the targeted missile, it helps to miss the approaching target. For the missile tracking, parameters like phase, frequency, and intensity of the signal play a vital role to guide the signal toward the approaching target. In this paper, analysis of approaching missile has been done through quadrature bank filter (QBF), and it identifies the parameters using wavelet transform. It helps to improve the precision of the input signal by compressing the image through QBF. In addition, the simulation result has been evaluated, and the effectiveness of parameters in each stage of decomposition, filtration, and reconstruction has been done through wavelet transform.

Keywords

Electronic countermeasure (ECM) Object identification Missile tracking Quadrature bank filter (QBF) Wavelet transform 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science EngineeringBhoj Reddy Engineering College for WomenHyderabadIndia
  2. 2.Department of Electronics and Communication EngineeringBhoj Reddy Engineering College for WomenHyderabadIndia

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