基于短时傅里叶变换的高效空频自适应抗干扰方法

doi:10.12305/j.issn.1001-506X.2025.06.06

Abstract

Abstract:

A space frequency adaptive processing (SFAP) algorithm based on short-time Fourier transform (STFT) is presented to solve the problem of high computational complexity in traditional SFAP algorithms when the number of fast Fourier transform (FFT) points is large, and parasitic zeros may occur in other frequency bands in the direction of interference when the number of FFT points is small. The proposed method firstly converts the signal to the time-frequency domain through STFT, and uses the constant false alarm threshold detection method to detect interference frequency points. Secondly, spatial filtering processing is only performed at the interference frequency points. Compared to traditional SFAP algorithms that perform spatial filtering processing at all frequency points, the proposed method effectively improves computational efficiency and anti-interference ability. The proposed method can not only deal with stationary interference but also effectively suppress non-stationary interference which poses a greater threat.

Key words: global navigation satellite system (GNSS), space frequency adaptive processing (SFAP), short-time Fourier transform (STFT), anti-interference

CLC Number:

TN967.1

Zhengyi ZHAO, Pulong NAN. Efficient space frequency adaptive processing method based on short-time Fourier transform[J]. Systems Engineering and Electronics, 2025, 47(6): 1778-1785.

Figures/Tables 10

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干扰信号编号	方位角/(°)	俯仰角/(°)	扫频带宽/MHz	调频率/(Hz/s)	干噪比/dB
1	150	30	10	2.5e11	60
2	200	30	10	2.5e-11	60

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Efficient space frequency adaptive processing method based on short-time Fourier transform

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