Probability model for early warning aircraft radar flight test based on probability of detection curve

A novel probability model was proposed to ensure the coverage rate and the accuracy of probability of detection (POD) curve in early warning aircraft radar flight test, which can also provide the distance sampling intervals and boundary conditions of flight routes. Firstly, we derived the optimal number of sampling points used for curve-fitting after the test based on the requirements of the coverage rate and the accuracy of POD curve. Then, an algorithm was proposed based on the empirical distribution function of POD curve, which could calculate the minimum and maximum detection distance of early warning aircraft radar flight test. Simultaneously, the length of distance sampling intervals was obtained on the basis of the algorithm. Finally, we calculated the number of sampling points in distance sampling intervals and the number of flights according to the statistical properties of the detection probability. The proposed model provides a quantitative basis for the design of radar flight test and the performance evaluation of early warning.