Open-loop Kalman method for intermittent tracking of GNSS signals

Abstract

In the traditional closed-loop intermittent tracking method, it takes a certain amount of time to ensure signal convergence due to the narrow signal traction capture range of the closed-loop structure and the final tracking accuracy. Aiming at the above-mentioned problems in the prior art, the present invention proposes an open-loop Kalman method for intermittent tracking of GNSS signals. The open-loop estimator in the present invention is used for estimating the signal parameters in the active period. In GNSS signal intermittent tracking, there are signal active periods and dormant periods, wherein the duration of the active period is Ta, the duration of the dormant period is Ts, and the sum of the two is T=Ta+Ts. The present invention uses an open-loop estimator to estimate the parameters of the signal in each active cycle in the active cycle of the GNSS signal intermittent tracking, and then uses a Kalman filter to filter the estimation results in different active cycles. Therefore, while expanding the range of signal capture, the precision of signal tracking is also improved.

Description

technical field [0001] The invention relates to the field of navigation receiver equipment development, in particular to an open-loop Kalman method for intermittent tracking of GNSS signals, which can be used in the development of receiving terminal equipment in a satellite navigation system. Background technique [0002] With the popularization of GNSS receiver modules in consumer electronic products, the power consumption of GNSS receivers has become an important index reference. In order to reduce the power consumption of receivers, intermittent tracking technology has received extensive attention and applications. The traditional intermittent tracking method is based on the closed-loop tracking structure. Because the signal traction capture range of the closed-loop structure is narrow, and the final tracking accuracy needs a certain time to converge, the intermittent tracking method requires a short sleep period and a long active period. As a result, the duty cycle of in...

AI Technical Summary

Problems solved by technology

The traditional intermittent tracking method is based on a closed-loop tracking structure. Since the signal traction capture range of the closed-loop structure is narrow, and the final tracking accuracy takes a certain amount of time to converge, the sleep cycle in the intermittent tracking method is required to be short and the active cycle is long.

In this case, the duty cycle of intermittent tracking is usually larger, which affects the performance of power reduction

Although the traditional open-loop tracking method can expand the traction capture range of the signal, the tracking accuracy is poor

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