Implementation of GOA to Non-Uniform PRI of SFPT for improving Resolution in Radar
NK. Ravi Kumar1, P. Rajesh Kumar2, G. Manmadha Rao3, B. Chinna Rao4

1Dr. K. Ravi Kumar*, Assoc. Professor, Dept. of ECE, N. S. Raju Institute of Technology, Visakhapatnam, India.
2Dr. P. Rajesh Kumar, Professor, Dept. Of ECE, AUCE (A), Andhra University, Visakhapatnam, India.
3Dr. G. Manmadha Rao, Professor, Dept. Of ECE, ANITS, Visakhapatnam, India.
4Dr. B. Chinna Rao, Professor, Dept. of ECE, N. S. Raju Institute of Technology, Visakhapatnam, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on June 01, 2020. | Manuscript published on June 10, 2020. | PP: 936-943 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6704069820/2020©BEIESP | DOI: 10.35940/ijitee.H6704.069820
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Pulse compression techniques are mostly used for increasing range resolution in radar systems. Stepped Frequency Pulse Train (SFPT) signal is well suitable in pulse compression techniques. The Pulse Repetition Interval (PRI) of the SFPT is varied to avoid the blind speed and in Counter Measures. Here, evolutionary algorithms are used to optimize non-uniform PRI sequence of SFPT signal for getting better resolution. The PSLR( Peak Sidelobe Ratio) and ISLR (Integrated Sidelobe Ratio) are the performance measures of the signal. The non-uniform PRI sequence is optimized by Differential Evolutionary Algorithm (DE) but it has several drawbacks including unstable convergence in the last period and easy to drop into regional optimum. To overcome this, Grasshopper Optimizer Algorithm (GOA) is used in this paper for increasing the PSLR of Non uniform PRI SFPT signal. 
Keywords: PSLR, ISLR, PRI, DE Algorithm, GOA.
Scope of the Article: Algorithm Engineering