High dynamic and sensitivity GNSS signal tracking algorithm based on an improved particle filter

With the gradual improvement of the BeiDou satellite global positioning system and the upgrading of GPS and other satellite systems, the sensitivity of satellite receiver is also increased gradually. Weakness of navigation signals and relative motion between the satellite and the receiver are the main factors that hamper the satellite receiver sensitivity improvement. In view of this situation, we present a high sensitivity, high dynamic tracking algorithm based on particle filter algorithm. On the basis of the traditional tracking loop, through the analysis of the various factors affecting the performance of the loop, with the adaptive regulation of signal strength and dynamic stress, the algorithm adjusts the parameter of the tracking loop combined with particle filter estimates. Simulation results show that the proposed algorithm, compared with fixed bandwidth algorithm and existing adaptive bandwidth algorithm, can effectively improve the sensitivity and dynamic of tracking receiver.