A three-dimensional integrated guidance law for rotary UAV interception

Adversarial Swarm Defence Using Multiple Fixed-Wing Unmanned Aerial Vehicles

“…These attempts can be divided largely into two branches: the soft kill, which neutralizes the threat using non-lethal methods such as jamming or signal hijacking [17][18][19] and the hard kill, which destroys an intruder by physical means. Particularly for the hard kill using UAVs, the proportional navigation (PN) guidance approach, which is commonly applied for missile interception [20,21], is widely used [22][23][24][25][26].…”

Ranging-based adaptive navigation for autonomous micro aerial vehicles

“…Indeed, it can be seen that with the access to a common external localization system, by having the robots exchange their position via some communication network, the relative localization prerequisite can also be accomplished straightforwardly. This approach is often adopted to demonstrate many large-scale multi-robot schemes in literature such as flocking [17,18], formation [19][20][21] and interception [22][23][24]. However, the use of infrastructure in these systems bring about several issues such as limited coverage, additional deploymentmaintenance costs as well as labor-intensive calibration and troubleshooting.…”

UAV swarming with collision avoidance and communication constraints

“…The aim of the resulting control law is to guarantee that collisions with other interceptor UAV or targets that it was not assigned do not happen while minimising disruption to the interception process. The content as presented here is primarily based on the works published in [22][23][24].…”

“…Interceptors try to avoid each other whenever their lines of sight with respect to one target approaches each other, even if distances among them might still be large, indicating that the CA would be performed in advance before interceptors get very close to each other. T (0) [9,22,39]…”