Call For Paper Volume:4 Issue:8 Aug'2017 |

Estimation of efficient pulse compression code using Multi objective Genetic Algorithm

Publication Date : 01/05/2015



Author(s) :

satyendra raghuvanshi , Dr. Vandana Vikas Thakare.


Volume/Issue :
Volume 2
,
Issue 4
(05 - 2015)



Abstract :

Detection at large range in radar system required large peak power (large width pulse) to enhance the SNR at  the time of target’s  return echo and  it also required  high bandwidth pulse(short duration  pulse) to enhance the range resolution of radar system .Pulse compression is a method which allows the radar system to simultaneously  achieve the energy of long pulse and resolution corresponding to short pulse by modulating the long duration pulse either in phase or frequency to increase its band width .This paper demonstrates  the generation of  long length bi phase pulse compression code by using a multi objective optimization genetic algorithm which is based on non dominated sorting known as  NSGA- 2.While using the bi phase pulse compression code at the receiver side the output of matched filter(autocorrelation function ) is a periodic in nature and contain time side lobe uniformly distributed both side of the main lobe .Which act as a noise signal to radar system detection .The efficiency  of  pulse compression code based on the peak value of side lobe with respect  to main lobe and energy contained by all side lobes. Peak side lobe level (PSL) and integrated side lobe label (ISL) are the two parameters which signify the   effectiveness of these code and treated as the objective function in  proposed work which are optimized by using NSGA 2 .


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Estimation of efficient pulse compression code using Multi objective Genetic Algorithm

April 30, 2015