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North-seeking Gyroscope Breakthrough For Compact, Low-power Navigation

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Michael Johnson
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Proven MEMS sensing now anchors an instrument that determines True North with navigation-grade performance in a practical package.

Launch and Demonstration: Navigation Toward True North

Silicon Sensing Systems’ inertial sensor platform underpins a newly introduced navigation instrument for north orientation from Kongsberg Discovery AS, with a live showing planned at Oceanology International later this month.

A north-seeking gyroscope (often used in a gyrocompass) is a gyroscope-based system that determines True North by sensing Earth’s rotation, rather than relying on Earth’s magnetic field. Yes, a gyroscope can detect True North: by measuring the planet’s rotation rate and resolving its direction relative to the instrument’s axes, the system estimates heading referenced to geographic north.

In practice, a north-seeking unit works by combining gyroscope rate measurements with leveling information (commonly from accelerometers) and estimation software that separates the Earth-rate signal from sensor biases and motion. Once aligned, it can be used like a compass by continuously outputting a true-heading reference that other systems (navigation, steering, stabilization, or pointing) can follow.

Typical building blocks include a set of gyroscopes, accelerometers for leveling and motion compensation, temperature sensing and calibration data, processing electronics to run the alignment and filtering, and a stable mechanical and electrical integration designed to manage vibration and thermal effects. North-seeking implementations exist across several technology types, including traditional mechanical spinning-mass gyros, ring laser gyros, fiber optic gyros, and MEMS-based systems.MEMS-based north seeking brings true-heading capability into platforms that previously had to compromise between performance, integration effort, and operational constraints.

In June 2025, the two firms disclosed a cooperation pact to create a new wave of inertial products; this unit is the first result to come from that work.

A gyroscope is made “north-seeking” by adding the sensing, control, and computation needed to align its measured rotation to the Earth-rate vector: the instrument is leveled, it collects gyro data over time, and software estimates heading while compensating for bias and motion. In classic free-gyro terms, converting a free gyroscope into a north-seeking gyrocompass involves adding a way to keep the gyro referenced to the local vertical (leveling), introducing damping or control to drive out oscillations during alignment, and using torque/feedback (or strapdown estimation in modern designs) so the system converges on the meridian rather than drifting. Compared with a magnetic compass, a north-seeking gyro provides true-north heading without susceptibility to local magnetic disturbances, while typically requiring an alignment period and careful management of sensor errors and operating conditions.

Inertial Partnership and Market Needs

David Somerville, General Manager at Silicon Sensing Systems, said: “Nine months ago we set out, with Kongsberg Discovery AS, to deliver navigation-grade performance from a MEMS-based gyro. Hitting this milestone proves that north-seeking MEMS can unlock practical advantages across many domains, and we’re delighted to contribute to it.”

Operators who rely on north-oriented gyroscopes increasingly demand improvements in SWaP-C, a balance many legacy solutions struggle to provide:Minimal size.Low weight.Low power consumption.Low cost.

By combining Silicon Sensing Systems’ mature MEMS technology with Kongsberg Discovery AS electronics and software, the platform offers a capable option for critical tasks across multiple markets.

Common applications for north-seeking gyroscopes include marine and subsea navigation, inertial navigation aiding when GNSS is degraded or unavailable, surveying and mapping, drilling and borehole orientation, autonomous vehicle guidance, and stabilized platform or antenna pointing. Accuracy is influenced by factors such as sensor noise and bias stability, calibration quality, temperature effects, vibration and shock, local latitude (which changes the usable Earth-rate component), the platform’s motion during alignment, and the time allowed for convergence to a stable true-heading estimate.

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