Article Details

Abstract

Aiming at the problem of frequency measurement accuracy of small pulse width signal in low Signal-to-Noise Ratio environment, this paper proposes the FFT high-precision frequency measurement method based on time domain interpolation and Jacobsen algorithm. Through simulation analysis, the effects of different interpolation methods, different Signal-to-Noise Ratio, and different FFT points on frequency measurement accuracy are studied. The results show that compared with the traditional Jacobsen algorithm, this method further improves the frequency measurement accuracy and exhibits strong anti-noise performance. In addition, the method is verified on the Xilinx FPGA platform, which proves its engineering feasibility and accuracy. Due to the small amount of calculation, the method is easy to realize real-time processing and has a good prospect of engineering application. The research results provide an effective solution for the frequency measurement of small pulse width signals in digital receivers.

Keywords

small pulse width; FFT frequency measurement; Jacobsen; time domain interpolation

References

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About the authors

Wang Minjie (1988-), male, Han nationality, from Hengyang, Hunan, senior engineer, bachelor's degree, research direction: electronic signal reconnaissance and information processing; Jiang Hongmei (1987-), female, Han ethnicity, from Guilin, Guangxi, is a senior laboratory technician with a master's degree. Her research direction is wireless radio frequency communication technology; Huang Peng (1987-), male, Han nationality, from Guilin, Guangxi, engineer, bachelor's degree, research direction: embedded development and application; Wang Shuxian (1987-), female, Yao ethnic, from Guilin, Guangxi, lecturer, master's degree, research direction: pattern recognition and image processing.