Performance Analysis of Optimization Algorithms Using Chirp Signal

  • K. AnurajEmail author
  • S. S. Poorna
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 98)


In order to evaluate the material charateristics and defects, different input signals are allowed to pass through the material. These signals are able to capture the hidden information regarding the material while traversing througnh it. These material signatures can be obtained by analyzing the reflected signals. This enables us to study the material properties and defects non-invasively. The different input signals can be modelled as Chirp signal, Gaussian echo, combination of echoes, etc. In this paper, analysis is done using chirp as the input signal. The parameter estimation is done using Maximum Likelihood and different optimization techniques are adopted for minimizing the error. Eventhough the results obtained for all optimization algorithms are comparable with the actual parameters, Levenberg-Marquardt algorithm gave the best fit, with minimum average absolute relative error.


MLE Chirp Parameter estimation ARE AS LM SQP TRR 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringAmrita Vishwa VidyapeethamAmritapuriIndia

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