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MicroBlaze implementation of GPS/INS integrated system on Virtex-6 FPGA
Lokeswara Rao Bhogadi1, Sasi Bhushana Rao Gottapu1, Vvs Reddy Konala1
1Department of Electronics and Communication Engineering, Andhra University College of Engineering (A), Visakhapatnam, India.
This study details a MicroBlaze implementation of a Global Positioning System/Inertial Navigation System (GPS/INS) integrated system on a Virtex-6 FPGA, optimizing accuracy and resource usage for real-time navigation solutions.
Area of Science:
- Embedded Systems Engineering
- Navigation Systems
- Aerospace Electronics
Background:
- Global Positioning System (GPS) and Inertial Navigation System (INS) integration is crucial for accurate positioning.
- Field Programmable Gate Arrays (FPGAs) offer high performance for real-time embedded systems.
- Virtex-6 FPGAs provide a robust platform for complex computational tasks.
Purpose of the Study:
- To implement and evaluate a loosely coupled GPS/INS integrated system using a MicroBlaze processor on a Virtex-6 FPGA.
- To analyze the system's performance concerning position accuracy, FPGA resource utilization, computation time, latency, and power consumption.
Main Methods:
- A loosely coupled GPS/INS architecture was designed and implemented.
- The MicroBlaze soft-core processor on the Virtex-6 FPGA handled inertial navigation and Kalman filter computations.
- Key performance metrics including position accuracy, FPGA resource usage (slices, DSP48, BRAM), computation time, latency, and power consumption were measured.
Main Results:
- The MicroBlaze-based GPS/INS system achieved real-time navigation solutions updated at 100 Hz.
- Detailed analysis of FPGA resource usage, computation time, latency, and power consumption was presented.
- The system's accuracy and efficiency were evaluated in the context of the Virtex-6 FPGA implementation.
Conclusions:
- The MicroBlaze implementation on Virtex-6 FPGA provides an effective platform for GPS/INS integration.
- The study offers valuable insights into the trade-offs between performance, resource utilization, and accuracy for FPGA-based navigation systems.
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