Intelligent countermeasure design of radar working-modes unknown

With the progress of radar technology, the development of radar tends to multifunction and intellectualization. The anti-jamming capability of radar is enhanced, and the combat effectiveness of radar countermeasure method for conventional radar is decreasing. So it is urgent to study the intelligent radar countermeasure (IRC) method, especially for number of working modes that is unknown. Based on this, this paper expounds the intelligent radar countermeasure method, and compares the difference between intelligent radar countermeasure and traditional radar countermeasure (TRC). The basic principle of reinforcement learning (RL) is introduced. For the situation that number of working modes is unknown, intelligent radar countermeasure based on reinforcement learning is proposed, and the algorithm steps are given. The simulation results show that the intelligent radar jamming method can independently learn and make decision intelligently according to the jamming effect, which improves the adaptability of the radar countermeasure system, and can resist the multi-working mode radar simultaneously.