This report describes the expected performance of the SENtral-K Step Counter ROM code algorithm. The results from this report utilized the Matlab algorithm source code that was used to generate the C-code for the SENtral-K ROM. The scope of this report does not include the process of ensuring the C-code matches the Matlab code, and thus there is an inherit assumption in this report that the ‘Matlab code = the ROM c-code’. To get the performance contained in this report, the algorithm knob settings must be defined into the SENtral-K RAM.

What is the Pedestrian Dead Reckoning Accuracy that can be Achieved with Today's MEMS Sensors, and Why Is It Important? Andrew Taylor, Becky Oh, George Hsu September 2014

The Indoor Navigation market is forecasted to grow from $30 million in 2013 to $12.9 billion in 2018.  While there are many technologies being leveraged to provide indoor navigation, each has barriers that hinder wide scale adoption of a highly accurate solution.  As such, there is a shift towards using multiple technologies together to provide a hybrid solution.  The most promising of these is the combination of Wi-Fi, Bluetooth, Cellular, and motion MEMS sensors, namely sensor fusion of gyroscopes, accelerometers, and magnetic sensors.The accuracy one can achieve with today’s MEMS sensors found in mobile phones is presented in this paper along with what effect this accuracy has on integration with other RF signals.


Accurate Position Tracking using IMUs, David Vincent February 2013

This white paper presents an overview of inertial position tracking using an Inertial Measurement Unit (IMU) and an explanation of the primary challenges to successful inertial position tracking, with an emphasis on the impact of inaccuracies which occur in the presence of magnetic anomalies. Results from one of the leading inertial position tracking systems using the PNI SpacePoint Fusion sensor will be shown.

Compassing in Harsh Environments: Correcting for Magnetic Field Distortion, Andrew Leuzinger, October 2010

Today's electronic compasses are built to withstand harsh environments — mechanical shock, extreme temperature and battlefield conditions. Yet the most challenging environment for compassing are the permanent and transitory magnetic field distortions encountered in everyday situations. This article discusses the recent developments in software to overcome transitory magnetic field distortions.

Local Magnetic Distortion Effects on 3-Axis Compassing; Michael Garton, Anthony Wutka & Andrew Leuzinger, July 2009

Reviews sources of localized magnetic distortion and how to correct for these distortions to obtain accurate compass readings. The paper also provides a review of the tests performed at PNI to measure the effectiveness of magnetic distortion correction algorithms on 3-axis compasses from 3 different companies.


Tilt-Induced Heading Error in a 2-Axis Compass; Andrew Leuzinger, July 2010

Discusses how a 2-axis compass works, with further explanation of earth's magnetic field inclination (dip angle) and the effect of this inclination on 2-axis compass heading.


Magneto-Inductive Technology Overview; Andrew Leuzinger & Andrew Taylor,  February, 2010

Overview of how PNI's magneto-inductive (MI) sensor technology works, with a discussion of some key advantages that set MI apart from other magnetic sensing technologies.