Optimal Networking Scheme for Stealth Target Detection by Multi-Sensor Detection Coalition

We develop a research discussion around multi-sensor cross-suggestion technology to build a multi-sensor coalition using multi-sensor cross-suggestion technology for the problem of high speed and stealthy targets in the proximity of airspace that are difficult to track and detect accurately for a long time. In building the multi-sensor detection alliance, the objective function is established with saving the detection time of individual sensors and maximizing the utilization efficiency of sensors, and tracking accuracy and time are taken as constraints. To find the optimal solution of the multi-sensor detection coalition, an improved bat algorithm is proposed, and the final simulation results show that the algorithm is faster in convergence and more accurate in solution than the ant colony and gray wolf algorithms, and is more adaptable to the rapidly changing situation of the battlefield situation in the new era.