Alternative Navigation

Tailoring radar systems to the unique requirements of different applications

Alternative navigation offers a valuable lifeline in environments where traditional global navigation satellite systems (GNSS) are ineffective or unavailable.

Using tools and techniques ranging from simple inertial sensors found in smartphones to cutting-edge quantum gravity mapping, alternative navigation keeps everything on track underground, underwater, indoors and in urban canyons, and even in space.

Inertial navigation, visual scene matching, and acoustic or electromagnetic localisation are all examples of alternative navigation methods which allow systems to understand their location when GNSS is not available or is degraded.


Real-world challenges

Developing an alternative navigation sensor

Autonomous Drones are increasing being used for a wide variety of applications but are generally heavily reliant on GNSS for navigation. Our challenge was to develop an alternative navigation sensor suitable for drones that could provide a GNSS-free navigation capability in all-weather day and night, and suitably small and low power.

In response Plextek developed a proof-of-concept terrain referenced navigation (TRN) system using our miniature PLX-T60 radar. It compares the elevation profile of the ground beneath the drone to a digital elevation map to estimate the Drone’s location when GNSS is degraded or unavailable.

Use of radar is advantageous as, unlike camera technology, it can work equally well day and night and is not affected by inclement weather such as rain or fog.

Read more on Augmenting UAV Safety with Ubiquitous Radar Technology
ML techniques with Semantic segmentation

The challenge from the client was to take image retrieval to the next level – improving the performance of traditional visual scene matching (VSM) algorithms at finding the best matching image in a dataset of georeferenced images.

The Plextek team decided to augment the traditional VSM algorithms with one of the latest ML techniques – Semantic segmentation. This was used to assign a label to each pixel in an image, based on which category it belonged to – tree, person, vehicle, etc. This enabled the VSM algorithm to prioritise those features which are likely to remain consistent over time (such as buildings) over those that are likely to change (e.g. cars, vegetation). The result is a VSM algorithm that can more accurately estimate a system’s location by comparing imagery from a camera with a database of previously captured images.

Read more on Semantic Segmentation in Visual Scene Matching
Alternative navigation capabilities

Navigating in areas where GNSS is degraded or unavailable usually requires expensive, specialised equipment. The challenge for the Plextek team was to create an accurate and low-cost alternative navigation system to enable a person to navigate accurately in the absence of GNSS.

The result was a system that attaches to a user’s boot and provides a highly accurate and robust position estimate when GNSS is ineffective or unavailable – inside buildings or tunnels, for example, or in an active GPS-denied environment.

The underpinning hardware and navigational algorithms offer low-drift alternative navigation capabilities in the event of GNSS signal loss.

Read more: Alternative PNT

Key skills

Alternative navigation solution for GNSS-denied environments
  • Signal processing

    Processing sensor data, such as accelerometers and gyroscopes, to estimate motion of a platform.

  • Radio Frequency (RF) geolocation

    Advanced RF geolocation techniques for detecting and locating objects, relying on years of experience in hardware development, antenna design and embedded signal processing.

  • Electronics design

    Delivering the intelligence that makes products work.

  • Low size, weight, power and cost (SWAP-C)

    Taking devices and optimising for embedded applications or designing custom hardware solutions for applications.

  • Artificial Intelligence (AI) and Machine Learning (ML)

    Specialising in their application to RF, embedded hardware design and signal processing.


Recent advancements in machine learning and sensor technology provide us with the tools for developing robust and precise alternative navigation methods – ensuring continuity and reliability in even the most complex of environments where GNSS signals are unreliable.

Freddy Saunders, Senior Data Scientist
Freddy Saunders

Senior Data Scientist


Dismounted Position & Navigation Sensor (DPNS)

Please accept cookies in order to enable video functionality.

We developed a boot mounted positioning system providing location estimates to the dismounted user in both GNSS enabled and degraded or denied environments, such as subterranean, under canopy or in building. This self-contained device can be interfaced with systems such as ATAK and maintains low positional error over distance travelled.

The boot-mounted unit shown consists of an array of inertial measurement units. A motion-processing algorithm converts data from the IMU array and barometer into a 3D estimate of displacement relative to an initial start position. The boot-mounted unit forwards this displacement data to the Android smartphone. The Android smartphone then fuses the displacement data from the boot-mounted unit with referenced position data from its GNSS receiver, when it is available, such that when GNSS is lost, the position of the user can be continually estimated from displacement data from the boot-mounted unit alone.


What sets us apart when it comes to alternative navigation?

The Plextek team has a track record of delivering complex technology solutions covering a broad range of alternative navigation applications, including:

  • Indoor
  • Urban canyons
  • Underground/underwater
  • Military operations (GNSS denied)
  • Space

Examples of our alternative navigation methods include:

  • Computer vision
  • Visual scene matching
  • Radar terrain profile matching
  • Simultaneous localisation and mapping (SLAM)
  • Dead reckoning (inertial sensors)
  • Acoustic localisation
  • Electromagnetic localisation
Contact Plextek

Contact Us

Got a question?

If you have got a question, or even just an idea, get in touch


Related Technical Papers

View All
Sensing in space The untapped potential of radar for space-based sensing. And how to get it right.
Sensing in space

Space holds vast promise. Orbiting satellites have already enabled global communications and allowed us to learn about our planet's climate. This paper will explain radar, how it works, and why it is suited to space applications. It will also discuss considerations for space companies when deploying any sensing technology. There is no one-size-fits-all when it comes to sensing. Our team works with space missions to assess if mmWave radar is right, and where it is, identify optimal configurations, software, and security to deliver against the performance and SWaP-C goals.

an image of our technical paper
mmWave Imaging Radar

Camera systems are in widespread use as sensors that provide information about the surrounding environment. But this can struggle with image interpretation in complex scenarios. In contrast, mmWave radar technology offers a more straightforward view of the geometry and motion of objects, making it valuable for applications like autonomous vehicles, where radar aids in mapping surroundings and detecting obstacles. Radar’s ability to provide direct 3D location data and motion detection through Doppler effects is advantageous, though traditionally expensive and bulky. Advances in SiGe device integration are producing more compact and cost-effective radar solutions. Plextek aims to develop mm-wave radar prototypes that balance cost, size, weight, power, and real-time data processing for diverse applications, including autonomous vehicles, human-computer interfaces, transport systems, and building security.

an image of our technical paper
Low Cost Millimeter Wave Radio frequency Sensors

This paper presents a range of novel low-cost millimeter-wave radio-frequency sensors that have been developed using the latest advances in commercially available electronic chip-sets. The recent emergence of low-cost, single chip silicon germanium transceiver modules combined with license exempt usage bands is creating a new area in which sensors can be developed. Three example systems using this technology are discussed, including: gas spectroscopy at stand off distances, non-invasive dielectric material characterization and high performance micro radar.

an image of our technical paper
60 GHz F-Scan SIW Meanderline Antenna for Radar Applications

This paper describes the design and characterization of a frequency-scanning meanderline antenna for operation at 60 GHz. The design incorporates SIW techniques and slot radiating elements. The amplitude profile across the antenna aperture has been weighted to reduce sidelobe levels, which makes the design attractive for radar applications. Measured performance agrees with simulations, and the achieved beam profile and sidelobe levels are better than previously documented frequency-scanning designs at V and W bands.

an image of our technical paper
Ku-Band Low-Sidelobe Waveguide Array

The design of a 16-element waveguide array employing radiating T-junctions that operates in the Ku band is described. Amplitude weighting results in low elevation sidelobe levels, while impedance matching provides a satisfactory VSWR, that are both achieved over a wide bandwidth (15.7-17.2 GHz). Simulation and measurement results, that agree very well, are presented. The design forms part of a 16 x 40 element waveguide array that achieves high gain and narrow beamwidths for use in an electronic-scanning radar system.