Joint Optimization Method of Airborne MIMO Radar Track and Radiated Power based on Mutual Information

The mutual information (MI) is used as the target function to jointly optimize the space trajectory and radiated power of the airborne MIMO radar. By adjusting the space position of the radar and radiating energy in real time, the detection efficiency of the MIMO radar is improved. Firstly, the cooperative detection model of aviation swarm MIMO radar is constructed to quantitatively describe the relationship between radar position and radiated power parameters and echo. Therefore, the MI between the transmitted signal and the received signal at the same time is derived, and the MI of the radar echo at the current time and the next time is derived. Maximizing the amount of MI sent and received signals can improve the amount of information detected, and minimizing the amount of MI at adjacent moments can improve the quality of information. This paper designs a time-sharing optimization algorithm, and improves the Artificial Bee Colony algorithm (ABC) to optimize the above two MI to achieve real-time adjustment of radar position and power. Through simulation verification and algorithm comparison, the advantages of this algorithm are reflected.