Ultra-Low Power Radar: The Tech That's Changing Ground Detection
"Discover how cutting-edge FPGA and ARM tech are revolutionizing signal and image processing for ground penetrating radar, making it smaller, lighter, and more efficient."
Ground Penetrating Radar (GPR) is an invaluable tool utilized to detect buried objects such as landmines, improvised explosive devices (IEDs), and unexploded ordnance (UXOs). Handheld GPR (HHGPR) systems are designed to be ultra-low power, lightweight, and compact, enabling their use in areas inaccessible to vehicle-mounted systems. Given that these systems are battery-operated and required to function for extended periods (e.g., eight hours of continuous operation), energy efficiency is paramount.
Conventional radar systems often employ separate cards for signal and image processing, which can be bulky and power-hungry. The challenge lies in developing a single, compact solution that minimizes power consumption while maintaining high performance. Cost is also a critical factor in making these systems accessible and widely deployable.
This article explores the design and implementation of an ultra-low power signal processor and image processor card for a handheld GPR system, integrated onto a single printed circuit board (PCB). The signal processing is realized using a Field Programmable Gate Array (FPGA), while image processing is handled by a Cortex-A9 ARM processor. We'll delve into the step-by-step design procedure, component selection, power estimation, and configuration modes that make this innovative solution possible.
GPR Market Growth and Data
Ground-penetrating radar (GPR) transmits radio-wave pulses into the ground to study the subsurface, using differences in the electrical properties of materials epa.gov. GPRbase offers free real-world radargrams for education, research, and software testing, spanning concrete scanning, utility detection, geotechnical investigations, archaeology, roads, and geosciences; its data were acquired with GSSI equipment and are distributed under CC BY-NC-SA 4.0 gprbase.com. A market estimate puts the GPR market at USD 475.1 million in 2025 and forecasts an 8.3% compound annual growth rate from 2026 through 2035, citing increased adoption for underground utility mapping and damage prevention .
GPR Methods and Constraints
GPR is a high-resolution, non-destructive technique for detecting subsurface defects, but interpreting its images can be subjective and inefficient, with high false-alarm rates mdpi.com. Its performance also involves depth-resolution trade-offs and can be affected by variable soil conditions, water interference, signal attenuation, reflections, and noise ameriscangpr.com. A 2026 article describes building a radar auscultation system from affordable off-the-shelf components, using a vector network analyzer (VNA), and discusses design choices including VNA and antenna selection and post-processing .
Early GPR Milestones
A pulse-radar system patent filed by Dr. Hülsenbeck in 1926 described using radar pulses rather than a continuous wave, a development associated with improved depth resolution kindigpr.com. In 1929, W. Stern used ground-penetrating radar to measure a glacier’s depth kindigpr.com. From 1974 to 1976, GPR was used in archaeological studies at Chaco Canyon, New Mexico, in what one account describes as its first known successful use at an archaeological site; at that time, the technology was expensive and unreliable safe2core.com.
Designing for Ultra-Low Power: Key Requirements and Implementation
The primary goal was to create a system that meets stringent requirements for size, weight, power, and cost (SWaP-C). The functional and operational requirements for the signal and image processor were:
- Compactness: Realization on a single PCB with minimal dimensions to achieve compactness.
- Power Efficiency: Total power consumption for the signal and image processing subsystem not exceeding 10 Watts.
- Lightweight: Total weight of the subsystem not exceeding 500 grams.
- FPGA Capabilities: An FPGA device with sufficient logic elements for current and future signal processing needs, combined with minimal power consumption.
- Flexible Configuration: Provision for configuring the FPGA with Active Serial, Fast Passive Parallel, and ARM processor modes.
- High-Performance ADCs: Inclusion of two Analog-to-Digital Converters (ADCs) with high dynamic range and good Effective Number of Bits (ENOB).
- Sufficient Memory: Adequate external high-speed memory connected to the FPGA for data storage and processing.
- Data Transfer Options: Facilities for transferring data from the FPGA via LAN or USB ports.
- Powerful Processor: A processor with sufficient MIPS (Mega Instructions Per Second) to handle real-time image processing algorithms.
- Communication Protocols: Efficient communication protocols between the FPGA and the processor.
- External Connectivity: Connectivity for display ports and audio jacks.
- Ample External Memory: Sufficient external memory for the processor to store data and execute image processing algorithms.
- Versatile Data Transfer: Data transfer capabilities via LAN or USB through the processor.
IoT-Based Monitoring and Data Management
A study titled “Intelligent Monitoring System Based on Internet of Things” describes using an ARM processor as the core of coordination processing. It also reports using database technology to record and manage measured data. The available source summary does not provide further details about the system’s GPR performance or results.
The Future of Compact Radar Technology
The realized signal processor and image processor card achieves a compact design, measuring 170 mm x 140 mm, with a total power consumption of just 5 watts during full operation. This demonstrates a significant achievement in creating a highly efficient system for handheld ground penetrating radar.
Non-Invasive Testing and Compact Processing
A 2026 review describes GPR as a rapid, non-invasive, traffic-compatible method for pavement evaluation sciencedirect.com. A report on a handheld GPR system says its signal processor and image processor are combined in a compact, ultra-low-power, battery-operated system designed for eight hours of continuous operation indjst.org. A separate review characterizes GPR as a non-invasive subsurface exploration method used in archaeology, geophysics, civil engineering, environmental studies, and military applications .
AI, Miniaturization, and Market Drivers
A trends page published in July 2026 highlights AI integration and miniaturization as developments transforming GPR, with potential applications in construction, defense, and utilities accio.com. Another 2026 trends page points to AI-driven innovations and high-growth segments across construction, utility, and defense industries accio.com. A market report summary attributes anticipated GPR market growth to infrastructure modernization, demand for underground utility detection and non-destructive testing, and government initiatives related to smart cities, transportation networks, and resilience .
Battery-Powered Handheld Operation
A study titled “FPGA and ARM based Ultra-Low Power Solution for Signal Processor and Image Processor for Ground Penetrating Radar” describes handheld GPR as a compact, ultra-low-power, battery-operated system. The source summary provides no battery-life figure or further detail on the system’s broader operating constraints.
Infrastructure and Utility Applications
High-speed non-destructive testing technologies, including GPR, infrared thermography, and impact-echo scanning, have increasingly been used to assess bridge-deck condition idsgeoradar.com. A 2021 case-study paper describes four GPR cases involving utility detection for trenchless drilling and excavation, as well as two cases estimating rock depth researchgate.net. For a new data-center project, GPRS reports using both high-speed and traditional GPR to locate underground utilities and deliver digital utility maps .
This ultra-low power design opens up new possibilities for portable radar applications, enabling longer operational times and expanding the use of GPR technology in diverse fields. From detecting buried hazards to assisting in archaeological discoveries, the impact of this innovation is far-reaching.
Further advancements in FPGA and ARM processor technologies will continue to drive improvements in power efficiency and performance, paving the way for even more sophisticated and compact radar systems in the future.