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3DM-GV7 Product Photo

3DM-GV7-AR

Ruggedized IP68 tactical grade IMU/VRU. Individually calibrated for optimum performance.

 

Features an advanced Extended Kalman Filter, cutting-edge orientation algorithms, advanced time management, and event triggering system.

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3DM-GV7-AR

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Sensor

  • Tactical grade gyro (1.5°/hr bias instability)

  • Fully calibrated over entire temperature range

  • Roll/pitch accuracy

    • Static: 0.25°

    • Dynamic: 0.5°

Operation

  • Onboard Extended Kalman Filter for attitude estimation

  • User-selectable accelerometer and gyroscope range

  • Adjustable sampling rates up to 1 KHz

  • Factory supported ROS1 and ROS2 driver

  • SensorConnect software for configuration, control, display, and logging

  • MSCL open source API for easy integration

Package

  • Ruggedized IP68 package

  • Precision-machined anodized aluminum enclosure

  • Precision alignment features

  • Compact and low profile

    • 36.2 mm x 36.6 mm x 10.2 mm

    • 17.7 grams

  • –40 to +85°C operating temperature range

3DM-GV7 Data Sheet Data Sheets English
Product Comparison: 3DM-GV7 Series vs. 3DM-GX5 Series Inertial Sensors Buyers Guide English
3DM-GV7 Mechanical Drawing (PDF) Technical drawing English

Certificates and Approvals

3DM-GV7 Declaration of Conformity (EU) Declaration of Conformity English
MicroStrain REACH-SVHC Compliance Declaration Declaration of Conformity English
3DM-GV7 Declaration of Conformity (UK) Declaration of Conformity English
3DM-GV7-AR
Performance Grade Tactical Grade
Random Walk Accel: 31 µg/√Hz, Gyro: 0.2 °/√hr
Bias Instability (Gyroscope) 1.5 °/hr
Bias Instability (Accelerometer) 20 μg
Hysteresis Accel bias: 0.9 mg, Accel gain: 318 PPM, Gyro bias: 0.066 °/s, Gyro gain: 1000 PPM
Communication Port Type Micro D9
Communication Interface RS-232, USB
Update Rate IMU: 1000 Hz, EKF: 1000 Hz
Inputs/Outputs 2xGPIO
Weight 17.7 g
Weight 0.624 oz
Size 36.2 mm x 36.6 mm x 10.2 mm
Size 1.43 in x 1.44 in x 0.40 in
Power Consumption 0.32 W
Input Voltage 4.6 V to 36.0 V
Minimum Operating Temperature -40 °C
Maximum Operating Temperature 85 °C
Minimum Operating Temperature -40 °F
Maximum Operating Temperature 185 °F
MTBF 2058917 h
Sensing Range (Accelerometer) 4 g
Sensing Range (Gyroscope) 250 °/s
Sensing Range (Magnetometer) 8 Gauss
Sensing Range (Pressure) 1260 mbar
Accuracy Roll/Pitch (dynamic): 0.5 °, Roll/Pitch (static): 0.25 °
Ingress Protection Rating Not Rated
Housing Material Aluminum
Software MSCL, ROS, SensorConnect
Mounting Style Screw Down, Precision Alignment
3DM-GV7-AR
Performance Grade Tactical Grade
Random Walk Accel: 31 µg/√Hz, Gyro: 0.2 °/√hr
Bias Instability (Gyroscope) 1.5 °/hr
Bias Instability (Accelerometer) 20 μg
Hysteresis Accel bias: 0.9 mg, Accel gain: 318 PPM, Gyro bias: 0.066 °/s, Gyro gain: 1000 PPM
Communication Port Type Micro D9
Communication Interface RS-232, USB
Update Rate IMU: 1000 Hz, EKF: 1000 Hz
Inputs/Outputs 2xGPIO
Weight 17.7 g
Weight 0.624 oz
Size 36.2 mm x 36.6 mm x 10.2 mm
Size 1.43 in x 1.44 in x 0.40 in
Power Consumption 0.32 W
Input Voltage 4.6 V to 36.0 V
Minimum Operating Temperature -40 °C
Maximum Operating Temperature 85 °C
Minimum Operating Temperature -40 °F
Maximum Operating Temperature 185 °F
MTBF 2058917 h
Sensing Range (Accelerometer) 4 g
Sensing Range (Gyroscope) 250 °/s
Sensing Range (Magnetometer) 8 Gauss
Sensing Range (Pressure) 1260 mbar
Accuracy Roll/Pitch (dynamic): 0.5 °, Roll/Pitch (static): 0.25 °
Ingress Protection Rating Not Rated
Housing Material Aluminum
Software MSCL, ROS, SensorConnect
Mounting Style Screw Down, Precision Alignment

Everything you need to get started

Access your sensor's comprehensive online user manual. Find detailed setup instructions, calibration procedures, troubleshooting guides, and technical specifications all in one convenient location. 

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Software

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InertialConnect Screenshot - GNSS Statuses

InertialConnect is the preferred software solution for MicroStrain inertial sensors. With InertialConnect, you can easily configure your sensors, adjust parameters, upgrade firmware, and deploy preconfigured parameter files. You can also verify sensor outputs with intuitive visualizations, including times eries data, position data, and statuses.

InertialConnect is compatible with both PC desktop and Linux operating systems, making it your go-to solution for precision and efficiency in inertial sensor management.

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sensorconnect-without-tag

SensorConnect is the next generation in desktop sensing software.

From configuration of nodes and starting networks, to collecting and analyzing data in real-time, SensorConnect provides a modern, powerful experience with our Wireless, Inertial, and Displacement products.

Using our intelligent data collection and graphing algorithms, you are able to visualize massive amounts of data instantly, and then zoom in on points of interest just as fast.

Built in MathEngine functionality allows for both real-time and post-processed math, such as generating FFTs, averages, RMS, etc.

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SensorCloud Laptop and Desktop

SensorCloud is a unique sensor data storage, visualization, and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis.

MicroStrain sensors can instantly upload their data to SensorCloud via an ethernet-connected WSDA-2000. Once uploaded, your data is securely stored in the Cloud and can be accessed from anywhere, or downloaded for offline use.

Configurable alerts can be set to help notify you of real-time event in your data.

MathEngine allows you to perform analytics on your data, all in the Cloud. Pre-built functions are available for ease of use, while IPython Notebooks allow advanced users to write custom scripts to be run on their data once, or on a schedule.

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mscl-logo

The MicroStrain Communication Library (MSCL) is our open-sourced API that simplifies writing code to interact with our sensors. MIP SDK is a lightweight C/C++ library for interacting with MicroStrain G and C-series products via baremetal and resource constrained microcontrollers.

Both APIs are readily available and fully-documented on GitHub, featuring valuable tools such as full documentation, example code, and a quick start guide.

Learn More About MSCL