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On the basis of centralized structure and distributed structure, the model based on peer-to-peer structure is established. Aimed in the problem of source optimal selection for passive location relative navigation under peer-to-peer structure, the Gauss-Newton method is used to set the initial value of relative navigation Kalman filter to make it converge quickly. With defining time, position, geometry and synthetic error factors, and setting different simulation environments, the influence of distance, speed, time deviation and geometric distribution position on relative navigation accuracy is studied. The simulation results show that the deviation is inversely proportional to the relative navigation accuracy, and the navigation accuracy is the highest when the connecting angle between the node to be located and the navigation source is 90°, the accuracy of the wide baseline scheme is significantly better than that of the narrow baseline scheme when the navigation source is configured linearly, and the accuracy of four-source positioning is better than that of two-source or three-source positioning. The algorithm model established in this paper is able to analyze the influence of different factors on positioning errors.

When the traditional unloaded boost-buck LED driver power supply has a high power factor, it will produce significant low-frequency ripple current. Based on the buck-boost topology, this paper presents an innovative LED drive power technology. This technology greatly reduces the low-frequency ripple current without affecting the performance of the power factor, and the advantages of high efficiency and low cost of the traditional boost-buck LED driver power supply are also preserved. Finally, a 10 W, 50 V-0.2 A experimental prototype is used to verify the performance of this new technology.