Due to the complex and ever-changing battlefield environment, fixed communication equipment is often damaged in combat zones, resulting in a massive breakdown of communication and thus affecting combat effectiveness. Using the advantages of the UAV's strong survivability and wide coverage, it is possible to carry communication equipment as an UAV aerial base station to provide communication services to ground users. The single UAV base station has disadvantages such as weak resistance to destruction and limited coverage and power, so the choice is made for multiple UAV base stations to work together to provide communication services to a large area and multiple users. In complex military environments such as strong electromagnetic interference and “electromagnetic silence”??, traditional wireless communication methods have poor confidentiality and are susceptible to interference and eavesdropping by the enemy, while wired communication requires cables to be laid in advance and is not easily used in complex, dynamic and changing military environments. Wireless ultraviolet communication, based on its all-round and terrain adaptable working characteristics, overcomes the shortcomings of wired communication requiring cable laying, as well as the strong absorption of ultraviolet light by the atmosphere, making ultraviolet communication with a low location detection rate performance, compared to wireless communication methods such as radio frequency communication and infrared light communication has better area covert transmission. It can be used as an independent network unit to access the modern communication network architecture, and can also be interconnected with wireless and wired communication networks to achieve resource information sharing. By establishing an airborne wireless UV non-direct vision communication model with the UAV coverage model, the coverage of the UAV is maximized while satisfying the premise of path loss. In order to ensure the quality of communication services for ground users, the received power of ground users is required to be greater than a certain threshold value, when the transmit power is certain, that is, the path loss when ground users communicate with the UAV must be less than the maximum acceptable path loss to ensure communication, the maximum acceptable path loss corresponds to a maximum coverage radius, and the path loss of all ground users communicating with the UAV in the radius area All of the ground users within this radius have a path loss less than this threshold. At the initial stage of deployment, the UAVs are randomly segmented over the target area, with the UAV projection on the ground as the centre and the coverage area as the radius, and users within its radius are considered to be covered and vice versa. By randomly deploying drones, a broad coverage blind spot, as well as coverage overlap, is created, resulting in a waste of resources for drones. Therefore how to provide communication coverage for ground users by optimizing the location of UAVs to meet requirements such as path loss and maximum coverage is an important problem faced when using UAVs as aerial base stations to build wireless communication networks. In solving the UAV deployment location optimization problem, this paper proposes a virtual force algorithm based on the relative distance to determine the positive and negative forces acting on the UAV based on the relative distance. The algorithm introduces three relative virtual forces, namely the relative virtual force between UAVs, the relative virtual force between UAVs and uncovered users, and the relative virtual force between UAVs and obstacles, and controls the UAV through the action of virtual forces UAV movement to the optimal position. This paper simulates the covert communication coverage of the UAV to ground users based on wireless ultraviolet light transmission technology, and analyses the performance of the algorithm under different scenarios as well as the effect of the ultraviolet light communication angle on the coverage of the algorithm. The simulation results show that the proposed algorithm effectively reduces the invalid coverage and overlapping coverage, and improves the coverage rate by 18.33%, 3.15% and 1.83% compared with the random deployment algorithm, greedy virtual force algorithm and mobile deployment algorithm, respectively, and the average distance travelled by the UAV in the proposed algorithm is the smallest, which indicates that the algorithm in this paper is more energy-saving compared with other algorithms. By choosing the appropriate reception elevation angle, transmission elevation angle, divergence angle and reception field of view angle, the coverage of the UAV can be effectively improved, and the service time can be extended by reducing energy consumption to meet the communication needs of the UAV and the user in a complex electromagnetic environment.