Anti-Sweep Interference of FDA-MIMO Radar Based on DQN and Power Allocation
The frequency diversity array(FDA)radar has many new characteristics due to the frequency incre-ment of its array elements,including the flexible spectrum control of the transmitted waveform through the transmission power allocation.Aiming at the problem of suppression of radar performance by sweep interference,firstly,the interac-tion model between frequency diversity array-MIMO(FDA-MIMO)radar and electromagnetic interference environment is established by introducing a reinforcement learning framework,so that FDA-MIMO radar can sense interference and suppress interference in the interaction process with electromagnetic environment.Secondly,a sweep interference sup-pression method based on deep Q-network(DQN)and FDA-MIMO radar transmission power allocation is proposed,so that the radar system can maximize SINR while making full use of spectrum resources.The simulation results confirm that under the framework of reinforcement learning,FDA-MIMO radar can achieve interference suppression and improve radar performance by power allocation.
frequency diversity array(FDA)sweep interferencereinforcement learningdeep Q-network(DQN)power allocation
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