• K. SUJANA
• Dr. P. RAJESH KUMAR

Pulse compression techniques have been widely used in several modern radar systems. Costas signal also called as Costas array is one of the techniques of pulse compression. Costas signal is used to generate a sequence of frequencies that produces unambiguous range and Doppler measurements within radar while minimizing the crosstalk between frequencies. Generation of non uniform PRI sequences of Costas signals are considered using conventional methods. The performance of the signal measured by two main parameters, Peak Sidelobe Level Ratio (PSLR) and Integrated Sidelobe Level Ratio (ISLR). The PSLR and ISLR are derived from the autocorrelation pattern. Here, evolutionary algorithms used to optimize non-uniform PRI sequence of radar signal (Costas signal) for improving the range resolution. This work will compare two optimization algorithms which are Genetic algorithm and Grey Wolf optimizer algorithm.

Pulse Repetition Interval, PSLR, ISLR, Genetic Algorithm, Grey wolf Algorithm

"OPTIMIZATION OF NON-UNIFORM PRI COSTAS SIGNAL USING GREY WOLF OPTIMIZER ALGORITHM FOR IMPROVING RANGE RESOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1086-1092, June-2020, Available :http://www.jetir.org/papers/JETIR2006492.pdf

"OPTIMIZATION OF NON-UNIFORM PRI COSTAS SIGNAL USING GREY WOLF OPTIMIZER ALGORITHM FOR IMPROVING RANGE RESOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1086-1092, June-2020, Available at : http://www.jetir.org/papers/JETIR2006492.pdf