Autonomous unmanned aerial vehicles (UAVs) present an increasingly viable threat vector to the Defense com- munity. Existing response systems are vulnerable to saturation attacks of large swarms of low-cost autonomous vehicles. One method of reducing this threat is the use of an intelligent counter swarm with tactics, navigation and planning capabilities for engaging the adversarial swarm. Though previous studies exist that have produced libraries of basic fighter tactics employable by unmanned fixed-wing aircraft, we are aware of little prior work that explores close-in tactical engagements at a large scale (teams of at least size 10). We examine existing technologies that can be applied in fixed-wing swarm-versus-swarm engagement, including classic pursuit-evasion strategies and the application of Lanchester's laws for attrition calculations. Our recent studies center on lever- aging existing manned fighter combat doctrine, and on the benefits of collaboration. We consider experiments in close-air combat against adversaries capable of destroying aerial targets. The following work employs both a Monte Carlo analysis in a simulation environment to measure the effectiveness of several autonomous tactics, as well as an analysis of live flight experiments in swarm competitions with up to 10 vs. 10 scenarios.