Receiver carrier wave tracking implementation method and system based on multi-information fusion assistance

Abstract

The invention discloses a receiver carrier wave tracking implementation method based on multi-information fusion assistance. According to the method, the radial speed of a satellite relative to a user is calculated according to information such as a satellite orbit and the position and speed of the user, and the Doppler frequency shift of a received carrier wave is predicated, wherein the information is obtained after a receiver is positioned; the actually measured value of the Doppler frequency shift of the carrier wave is output by a tracking loop in the receiver; correction is carried out on measurement remnants of the Doppler frequency shift through the Kalman filtering method, and the corrected optimal estimated value of the Doppler frequency shift is fed back to the tracking loop. According to the loop design method, dynamic influences caused due to the fact that the satellite moves relative to the user, a loop filter can be designed to work under a narrow noise bandwidth, the loop filtering effect is enhanced, and a system integrates robustness and high sensitivity. According to the Kalman filtering method adopted in the method and system, gain can be adjusted dynamically, optimal estimation of feedback of the Doppler frequency shift is achieved, and therefore the method and system have high commercial value.

Description

technical field [0001] The invention relates to a receiver carrier tracking implementation method, in particular to a tracking loop design method and system based on satellite orbit, user position, speed and other information obtained through positioning calculation. Background technique [0002] With the wide application of GPS navigation and positioning system in various industries, people put forward higher and higher requirements for improving the robustness and sensitivity of GPS receiver tracking satellite signals and improving the quality of GPS measurement values. In the design of the receiver, the design of the noise bandwidth is closely related to the above performance indicators. The narrower the noise bandwidth, the better the loop filtering effect and the more accurate the loop will track the signal because less frequency component noise is allowed to enter the loop. However, the noise bandwidth cannot be arbitrarily small. Since high dynamic stress will cause...

AI Technical Summary

Problems solved by technology

However, the noise bandwidth cannot be arbitrarily small

Since high dynamic stress will cause large changes in the carrier frequency and phase of the received signal, which will cause severe oscillations in frequency and phase tracking errors, the noise bandwidth must be large enough to tolerate normal fluctuations in carrier frequency and phase due to high dynamic stress , to ensure the continuous and accurate tracking of the signal by the loop; otherwise, if the noise bandwidth is too small, the useful high-frequency signal components in the carrier frequency and phase changes caused by high dynamic stress will be filtered out togeth

Images