Radar is known as the “eye” of modern warfare and plays a pivotal role in warfare, but the detection performance of radar systems is seriously affected by main-lobe cover jamming. To solve this problem, a radar target detection method based on four-channel monopulse radar is proposed in this paper. This method designed a spatial filter for main-lobe jamming cancellation, which could cancel the main-lobe jamming while keeping the target signal power unchanged, ensuring that the Electronic counter-countermeasure Improvement Factors (EIF) of the filtered signal always reach the maximum value to improve the target detection performance of monopulse radar. The Monte Carlo simulation results showed that the algorithm in this paper outperformed the conventional Main-Lobe Cancellation (MLC) algorithm in terms of EIFs and detection performance.

Aiming at the high-precision time synchronization problem of aviation swarm task cooperation, a high-precision time synchronization algorithm suitable for this working environment is proposed. Based on RTT-REP principle, firstly, the influence of node mobility on synchronization accuracy under the condition of system maneuvering is analyzed, and it is proved that synchronization accuracy is closely related to relative distance and relative movement speed. Then, a method of eliminating maneuver error based on state sharing is put forward. This method shares position information through communication system, and then uses coordinate transformation to measure relative movement speed and relative distance to eliminate displacement error. Finally, the test methods are designed under static conditions in the laboratory and dynamic conditions in the field, and the performance of the system is tested. The experimental results show that the synchronization accuracy error of this system is less than 20ns, which proves that this method has high synchronization accuracy and strong practicability.