基于短时傅里叶变换的高效空频自适应抗干扰方法

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中图分类号：TN967.1 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.06.06

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 SFAPalgorithms 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 numberofFFT 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，spatialfiltering procesing is only performed at the interferencefrequency points.Compared to traditional SFAP algorithms that perform spatial filtering processng at all frequency points，the proposed method effectively improves computational efficiency and anti-interferenceability.The proposed method can not only deal with stationary interference but also effectively suppress non-stationary interference which poses a greater threat.

Keywords：global navigation satelite system（GNSS）； space frequency adaptive processing （SFAP）; short-time Fourier transform（STFT）；anti-interference

0 引言

全球卫星导航系统（globalnavigationsatellitesystem，GNSS）因其能够全天时、全天候提供目标位置、导航、授时等相关信息，在军民领域均具有非常重要的应用价值[1-2]。（剩余13044字）