Abstract: This paper addresses the optimization of observation point configuration in a single UAV interference source search system, focusing on unknown interference source positions, goniometric equipment blind spots, and complex calculations of dilution of precision. It compares various dilution of precision with error distribution and proposes a method to enhance the search process. By using dilution of precision to evaluate distribution effectiveness, the paper presents three methods: fixed-step, variable-step, and uniform. These methods are compared under different initial distributions. Based on the shortcomings of the three methods above, an improved algorithm is proposed and validated through simulations. This algorithm supports the sequential addition of observation points, achieving near-ideal accuracy even with poor initial angle distributions, thereby meeting monitoring and localization requirements.