Algorithm for Optimal Receiver Placement of External Radiation Source UAV Detection System

Unmanned Aerial Vehicle(UAV) detection and positioning systems based on external radiation sources have been more and more widely used in urban security. The positioning accuracy of the UAV can be improved by optimizing the location of the receiving stations. This paper establishes the signal model of the distributed receiving stations, and deduces the Cramer-Rao lower bound (CRLB) of target location estimation in the coherent case. Then the geometric dilution of precision (GDOP) is introduced as an index to evaluate the positioning performance. Aiming at the problem that the external radiation source is arranged in advance and the position is usually irregular in practical applications, we establish an optimization model considering the UAV positioning accuracy and propose a receiver placement algorithm based on iterative convex approximation. The optimization model is approximated with convex optimization in each iteration until the optimal receiving stations placement is searched. Simulation experiments show that the positioning accuracy of the UAV using the proposed receiver placement algorithm is better than that of the symmetrical layout method.