Author(s)

QiuLin Yao^1*, ShaoJie Guo¹, FanZhi Qu¹, QiSheng Liu¹, KuiSong Wang¹, JinZhu Cai², ChengCai Liang¹

Affiliation(s)

¹School of Mechanical Engineering, Jiamusi University, Jiamusi, 154007, Heilongjiang, China.

²School of Materials Science and Engineering, Jiamusi University, Jiamusi, 154007, Heilongjiang, China.

Corresponding Author

QiuLin Yao

ABSTRACT

Airplanes have now become an important travel tool, and airspeed is the key data to be observed in the process of aircraft flight, therefore, in order to reduce the probability of aircraft stalls and other accidents due to abnormal airspeed data, it is of great significance to accurately measure the airspeed. This study focuses on the frequency estimation of the received signal in flight cycle, combines with the signal processing requirements of laser speed measurement system, constructs a variety of mathematical models and designs the corresponding solution algorithms, and systematically explores the noise characteristics, frequency estimation and intermittent signal processing and other key issues. In this paper, the fast Fourier transform (FFT) algorithm and descriptive statistical analysis of z(t) noise type belongs to Gaussian white noise. The reasonableness and estimation accuracy of the main frequency are verified by comparing the filtered signal with the fitted non-noise signal. This study proposes a frequency estimation method that combines Fast Fourier Transform (FFT) with descriptive statistical analysis. The method effectively suppresses environmental noise interference using an adaptive threshold adjustment based on the Constant False Alarm Rate (CFAR) algorithm. A band-pass filter is employed to eliminate noise, and residual analysis is used to validate the accuracy of frequency estimation. Additionally, an innovative signal reconstruction method under intermittent sampling is proposed, providing theoretical support for frequency estimation and signal processing in complex environments.

KEYWORDS

Fast Fourier transform; Residual analysis; Bandpass filtering; Gaussian white noise; Doppler shifted letter

CITE THIS PAPER

QiuLin Yao, ShaoJie Guo, FanZhi Qu, QiSheng Liu, KuiSong Wang, JinZhu Cai, ChengCai Liang. Modeling and frequency estimation of flight cycle signals in complex environments based on the fast Fourier transform. Journal of Computer Science and Electrical Engineering. 2025, 7(2): 18-24. DOI: https://doi.org/10.61784/jcsee3043.

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