IDR Logo

Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/397
Title: A multiobjective optimization approach to determine the parameters of stepped frequency pulse train
Authors: Sahoo A.K.
Panda G.
Keywords: ACF
Frequency stepped pulse
Grating lobes
LFM
Multiobjective optimization
Issue Date: 2013
Citation: 6
Abstract: Frequency stepping techniques are commonly used in modern radar system to get high range resolution with the disadvantage that its autocorrelation function (ACF) yield undesirable "grating lobes". Wider mainlobe deteriorates the range resolution capability of the waveform and higher peak sidelobe either hides the small targets or causes the false target detection. Several techniques have been used to choose the parameters of linear frequency modulated (LFM) pulse train to suppress the grating lobes without paying much attention to the mainlobe width and peak sidelobe level. In this paper a multiobjective optimization (Nondominated Sorting Genetic Algorithm-II (NSGA-II)) approach is proposed to optimize the parameters of the LFM pulse train to achieve reduced grating lobes, low peak sidelobe level and narrow mainlobe width. The optimization problem has been studied in two different ways: first one is associated with the reduction of grating lobes and the minimization of peak sidelobe level of the ACF with constraints and second one is related to the minimization of the peak sidelobe level and mainlobe width of the ACF with constraints. Simulation studies have been carried out to justify the potentiality of the proposed approach. � 2011 Elsevier Masson SAS. All rights reserved.
URI: http://dx.doi.org/10.1016/j.ast.2011.10.008
http://10.10.32.48:8080/jspui/handle/2008/397
Appears in Collections:Research Publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.