关键词: 电子干扰, 辐射风险, 探测失跟风险, 威胁风险, 多传感器管理

Abstract: Traditional multi-sensor management methods based on risk assessment face issues such as difficulty in risk evaluation and poor tracking accuracy under electromagnetic interference scenarios, which fail to effectively ensure the overall safety and accuracy of target tracking systems. Therefore, this paper comprehensively considers the sensor radiation risk, detection loss risk, and target threat risk in electronic interference scenarios and proposes a multi-sensor management method based on bidirectional joint risk multi-step prediction under electronic interference (MM-BRP-EI). First, this paper considers the radiation risk of the sensor side, the detection loss risk, and the target threat risk from the enemy, introducing adaptive weights based on the Signal to Interference Plus Noise Ratio (SINR) to construct a variable-weighted bidirectional joint risk model. Then, with the objective of minimizing sensor power, a multi-step prediction multi-sensor allocation problem based on bidirectional joint risk is constructed within a time-series prediction framework. Finally, the multi-sensor allocation problem with non-convex constraints is relaxed into a convex optimization problem for solving, thereby improving computational efficiency. Simulation results show that the proposed method can effectively schedule and allocate limited multi-sensor resources, ensuring the safety of the tracking system while effectively improving the accuracy of target tracking under electronic interference scenarios.

Key words: Electronic interference, Radiation risk, Tracking loss risk, Threat risk, Multi-sensor management