Implementation of MOIDS Algorithm for Optimal Parameter Selection of SFPT for Modern Radars

  • et al.
N/ACitations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Modern radars require signals of the large frequency range to attain relatively greater range resolution. Frequency stepping is the technique to convert the narrowband signal, i.e., a train of pulses into a wideband signal to achieve high accuracy in range resolution measurements. Due to the cause of constant step in frequency of successive pulses, grating lobes appeared when the period of pulse multiplied by step in frequency exceeds unity as is needed in modern radars. Hence to achieve the best resolution, grating lobes height, sidelobes level, and mainlobe width have to be minimum. In this paper an attempt has been made to diminish grating lobes, minimize sidelobes and reduce mainlobe width using MOIDSA to find the parameters of Stepped Frequency Pulse Train (SFPT) mechanism. The compromise between various lobes is obtained by using three dimensional Pareto fronts for different ranges of SFPT parameters.

Cite

CITATION STYLE

APA

Kumar, Dr. K. R., Kumar, Prof. P. R., & Injeti, Dr. S. K. (2020). Implementation of MOIDS Algorithm for Optimal Parameter Selection of SFPT for Modern Radars. International Journal of Recent Technology and Engineering (IJRTE), 8(5), 4093–4099. https://doi.org/10.35940/ijrte.d4515.018520

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free