Design of anti-jamming frequency-hopping sequence based on grey wolf algorithm

In order to improve the anti-jamming ability of the frequency-hopping communication system, an optimized design method of anti-jamming frequency-hopping sequence is proposed. This method combines the jamming information to comprehensively consider the Hamming-correlation properties, uniformity, interference probability and frequency-hopping gain of the frequency-hopping sequence. The improved grey wolf algorithm is used to solve the above optimization problem. A new opposition-based learning strategy and individual information exchange mechanism using Levy flight are proposed to improve the performance of the grey wolf algorithm. The experimental results about basic test functions show that the improved grey wolf algorithm is superior to other grey wolf algorithms in convergence speed and solution accuracy. And the optimized design results of anti-jamming frequency-hopping sequence show that it’s anti-jamming ability is stronger than the traditional frequency-hopping sequence and the wide-gap frequency-hopping sequence under various jamming background.