A hierarchical comb interference resource allocation algorithm based on greedy strategy and evolutionary algorithm

Abstract

Aiming at the low efficiency of manual comb jamming resource allocation in communication interference, a comb jamming resource allocation algorithm based on greedy strategy and evolutionary algorithm is proposed in this paper. Interference spectrum is often a mixed spectrum containing multiple groups of frequency hopping and fixed frequency. When multiple jammers adopt comb jamming mode, the combination of different start frequency, frequency point interval and jamming bandwidth will affect the final jamming rate of the mixed spectrum. In this paper, the evolutionary algorithm is used to optimize the frequency point interval. When the frequency point interval is fixed, the maximum bandwidth is selected according to the restriction relationship between the frequency point interval and the interference bandwidth, and the greedy strategy is used to search the starting frequency of multiple jammers. Simulation results show that the proposed algorithm has better interference rate and time efficiency than both manual interference resource allocation and interference resource allocation based on greedy strategy.