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High-Precision FPGA IP Core Development for Aerospace Navigation Systems

intechhouse.com

Other industries

Aerospace

Technical Challenges in Aerospace Navigation Precision

The client required an FPGA IP Core to address critical challenges in aerospace navigation systems, including error detection for reliable data validation, implementation of statistical computations in hardware, achieving maximum time measurement accuracy, and ensuring compatibility with industry-standard interfaces like AXI4Lite for seamless processor integration.

About the Client

A technology company specializing in aerospace solutions developing high-reliability navigation systems for satellites, autonomous flight, and real-time communication networks.

Enhanced Precision and Reliability in Navigation Systems

Exceed performance targets for time measurement resolution
Ensure cross-platform compatibility with diverse FPGA architectures
Optimize hardware-based statistical functions for real-time accuracy
Validate reliability under extreme environmental conditions

Core System Functionalities and Features

AXI4Lite interface compliance for register-level operations
Pipelined architecture for high-speed statistical computations
Adaptive resource balancing for compatibility with slower FPGAs
Environmental resilience testing for aerospace conditions

Technologies and Tools

VHDL (Hardware Description Language)

C/C++ (Embedded Software)

Xilinx Vivado/Vitis

HDL Simulators

System Integrations

AXI4Lite interface for processor communication
Real-time data validation pipelines
Temperature monitoring subsystems

Non-Functional Requirements

High reliability under extreme temperatures (-40°C to 125°C)
Scalable architecture for future aerospace applications
Low latency (<10ns) for time-critical operations
Compliance with aerospace safety standards (e.g., DO-254)

Business and Operational Impact

The IP Core will enable aerospace systems to achieve sub-nanosecond time measurement accuracy, reducing navigation errors by 90% and supporting critical applications like autonomous flight and satellite positioning. Its FPGA-agnostic design lowers hardware costs by 40% while ensuring compliance with aerospace reliability standards, accelerating time-to-market for next-generation navigation systems.