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Tidy state estimator docs
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hamishwillee authored Jun 22, 2018
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# Switching State Estimators
This page shows you which state estimators are available and how you can switch between them.

## Available estimators

**1. Q attitude estimator**

The attitude Q estimator is a very simple, quaternion based complementary filter for attitude.

**2. INAV position estimator**

The INAV position estimator is a complementary filter for 3D position and velocity states.


**3. LPE position estimator**
This page shows you which state estimators are available and how you can switch between them.

The LPE position estimator is an extended kalman filter for 3D position and velocity states.
## Available #stimators

**4. EKF2 attitude, position and wind states estimator**
The available estimators are:
- **Q attitude estimator** - The attitude Q estimator is a very simple, quaternion based complementary filter for attitude.
- **INAV position estimator** - The INAV position estimator is a complementary filter for 3D position and velocity states.
- **LPE position estimator** - The LPE position estimator is an extended kalman filter for 3D position and velocity states.
- **EKF2 attitude, position and wind states estimator** - EKF2 is an extended kalman filter estimating attitude, 3D position / velocity and wind states.

EKF2 is an extended kalman filter estimating attitude, 3D position / velocity and wind states.
## How to Enable Different Estimators

## How to enable different estimators
For multirotors and VTOL use the parameter **SYS_MC_EST_GROUP** to chose between the following configurations.
For multirotors and VTOL use the parameter [SYS_MC_EST_GROUP](../advanced/parameter_reference.md#SYS_MC_EST_GROUP) to choose between the following configurations.


| SYS_MC_EST_GROUP | Q Estimator| INAV | LPE | EKF2 |
| --- | --- | --- | --- | --- |
| 0 | enabled | enabled | | |
| 1 | enabled | | enabled | |
| 2 | | | | enabled |


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