How can we improve GPS drift?

GPS drift has always been a headache for users and manufacturers. It is also the first choice for many users to choose GPS. Good product positioning is accurate and the drift is very small. So how can we improve GPS drift?

 

1) software-only Method.

Filter by softwareAlgorithmFilter data on devices or on the positioning platform. This method is often used in the early days, because of the low cost and flexibility.

Disadvantages: due to the complexity of the model and the instability of the scenario, software filtering will inevitably lose the details of the valid data, and will not cover all the feature scenarios, which will be ineffective in special scenarios.

 

2) hardware adjustment.

Many products increase the reception sensitivity to emphasize their own fast positioning. A side effect is serious drift. When a vehicle is running properly, it basically does not look rough to see what the impact is, because there is a strong effective signal Suppression Function, once the red light or a long stay in a place, it will produce a great drift, there is an inexplicable track, which can seriously affect normal use. Processing Method: Through the front-end matching of the signal channel, the GPS drift can be improved by appropriately reducing the sensitivity.

Disadvantage: the GPS cold start time is longer.

 

3) third-party sensor assistance.

Use third-party sensor data to filter and correct GPS data. This method is common among high-configuration models. It is currently the mainstream method. It integrates the essence of software algorithms and the professionalism of hardware without losing GPS indicators.

Disadvantage: additional hardware costs and development complexity are required.