Design of Sequences with Low Autocorrelation Sidelobes using Genetic Algorithms

Biskin O. T., AKAY O.

10th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 30 November - 02 December 2017, pp.1146-1150 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Bursa
  • Country: Turkey
  • Page Numbers: pp.1146-1150
  • Dokuz Eylül University Affiliated: Yes


Unimodular constant modulus sequences with desirable autocorrelation function properties are widely used in radar and communication systems. One of the performance metrics that determine the goodness of a designed sequence is the integrated sidelobe level (ISL) of the autocorrelation function of the sequence. Studies in the literature have focused on minimizing the metric of ISL. In this study, we utilize genetic algorithm (GA) to minimize ISL in the frequency domain. The proposed algorithm is initialized by either a random sequence or the Golomb sequence whose autocorrelation is known to have good properties. By this way, a radar transmit signal with minimum ISL is designed using GA. Finally, performance of GA is compared against the already existing cyclic-new (CAN) algorithm. The simulations indicate that minimization of ISL using GA produces better results than the CAN algorithm. Hence, GAs could alternatively be used to design radar transmit sequences by minimizing ISL in the frequency domain.