Method and device for estimating GNSS reflected signal parameter

Abstract

The invention provides a GNSS reflected signal parameter estimation method and a device. The recursive least square (RLS) filtering is carried out on the correlation value which is obtained by demodulating and dispreading a short-distance multipath signal to estimate the parameters of the multipath signal; the parameters includes the information such as the tracking errors of the code and the carrier phase of a direct branch, the amplitude and the delay of each multipath component relative to a direct signal, carrier frequency, phase position and the like; the estimated multipath component information can be used as the utilization of a reflected signal; and the estimated information of the tracking errors of the direct signal enables a receiver still to accurately track the code and the carrier under the environment of short distance multipath to eliminate the interference of the multipath signal and improve the tracking accuracy. When the system is changed, the basic structures of correlated modules are not changed, and the sending signals and the direct signals can be estimated and tracked through regulating part of parameters and functions. The invention is a estimation proposal suitable for various GNSS systems.

Description

technical field [0001] The invention belongs to the field of signal processing, and relates to a signal processing method and device, in particular to a method and device for estimating GNSS reflected signal parameters Background technique [0002] Multipath is the main source of error affecting accuracy in high-precision positioning. In the differential positioning system (DGPS), there are many error sources, including satellite clock error, ephemeris error, ionospheric delay error, tropospheric delay error, receiver clock error, thermal noise, multipath error, etc. Most of the errors can be eliminated by differential techniques and modeling techniques, but thermal noise and multipath errors cannot be eliminated due to the uncorrelation between the reference station and the user station. The error caused by thermal noise is usually only at the millimeter level and can be ignored, so multipath error becomes the main source of error in high-precision differential positioning...

AI Technical Summary

Problems solved by technology

In this regard, there are already existing technologies such as MEDLL, etc., but their calculations are more complicated and the amount of calculation is large.

There are also some methods based on the adaptive filtering method, but using a framework other than RLS filtering or building is different from this, and many of these methods only solve the multipath estimation problem of the chip, and do not solve the carrier

[0004] It can be seen that in terms of estimating the relative amplitude, code phase and carrier phase of dense multipath, there is a lack of effective methods to solve it with adaptive filtering technology.

Images