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In this paper, a high-speed real-time spectrum analysis system based on GPU parallel computing was developed for the real-time requirements in the application environment of satellite communication spectrum monitoring. The system adopts high-speed ADC and high-performance FPGA as real-time signal acquainting and processing platform and uses high-performance server and GPU as signal analyzing and identifying platform. By using advanced signal processing and recognition algorithms, automatic monitoring and real-time alarms of the spectrum were realized, and this improved communication quality. Introduction As communications, aerospace and other fields keep developing, the amount of signals need to be processed in those fields is getting bigger and bigger as well as the calculation of those signals. How to improve the operation speed and operation accuracy of signal processing in those fields has now become a very important research direction. In recent years, it has been very common to use FPGA+GPU for scientific calculation. As GPU keeps developing, GPU has been used in more and more fields. Its powerful parallel computing power can significantly decrease system costs. Due to the special construction of GPU, It can accelerate the processing speed of signals and greatly improve repeated and complex calculation fields. The system uses the powerful parallelism and high-speed data transmission capacity of FPGA. Combining the high-speed parallel data processing capacity, it is possible to satisfy the real-time requirements of current spectrum monitoring.

High-speed Real-time Spectrum Analysis System Based on FPGA and GPU Parallel Arithmetic