Featured Project · Radar · FPGA & Digital Design
Radar Processing Platform
A potential real-time processing platform that brings together radar physics, signal processing and FPGA/GPU acceleration for advanced sensing applications.
The Opportunity
Bringing advanced radar modelling into real-time processing
ETROYL's expertise in Ground Penetrating Radar (GPR), electromagnetic forward and inverse modelling, and signal processing creates an opportunity to explore how sophisticated radar algorithms can be embedded into FPGA- and GPU-based processing platforms.
The objective is to bridge the gap between computational models and deployable real-time sensing systems. Selected modelling and signal-processing methods could be transformed into hardware-accelerated processing chains where latency, throughput and deterministic data movement are critical requirements.
Radar Architecture
A capability applicable across radar configurations
The engineering challenge is not limited to conventional radar architectures. The same principles can be applied to different sensor configurations and processing requirements, including single-channel systems, antenna arrays and Multiple-Input Multiple-Output (MIMO) architectures.
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Single-channel and multi-channel radar
Processing architectures can be tailored to the number of acquisition channels, sampling requirements and target algorithms. -
Antenna-array processing
Parallel data paths can support beamforming, spatial processing and other array-based sensing techniques. -
MIMO radar
Hardware acceleration can be considered for the high data rates and computational workloads associated with multi-antenna transmit and receive configurations. -
GPR and radar imaging
GPR-specific forward and inverse modelling and imaging algorithms provide a natural domain in which electromagnetic expertise can meet real-time hardware acceleration.
FPGA & GPU Acceleration
Choosing the architecture around the algorithm
Different radar algorithms and deployment environments call for different computational architectures. FPGAs can provide deterministic, highly parallel processing with fine control over data flow and latency, while GPUs can provide substantial computational throughput for algorithms that benefit from massive parallelism.
ETROYL can investigate the appropriate partitioning between FPGA, GPU, CPU and embedded processing resources. The emphasis is on the complete processing chain: algorithm decomposition, numerical representation, memory architecture, data movement, interfaces, throughput, latency and hardware/software co-design.
From Science to Product
Turning technical capability into a reusable platform
This project represents a potential product direction for ETROYL, not an already-deployed commercial platform. The underlying capabilities already exist across radar physics, electromagnetic modelling, signal processing, FPGA/GPU acceleration and embedded systems engineering.
The opportunity is to bring these capabilities together into a reusable or application-specific processing platform. Depending on the requirements, the resulting solution could support research systems, specialized sensing products, industrial inspection, subsurface imaging or other radar-based applications.
Have a demanding radar or sensing problem?
Let's discuss the sensing architecture, processing requirements and path toward a deployable FPGA/GPU-based engineering solution.
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