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

摘要/Abstract

摘要：

针对传统空频自适应处理(space frequency adaptive processing, SFAP)算法在快速傅里叶变换(fast Fourier transform, FFT)点数较大时出现计算量大、点数较少时出现在干扰来向的其他频段产生寄生零陷的问题，提出一种基于短时傅里叶变换(short-time Fourier transform, STFT)的SFAP方法。首先通过STFT将采样信号转换到时频域，并利用恒虚警门限检测方法检测干扰频点，然后仅在干扰频点进行空域滤波，相较于传统SFAP算法在所有频点进行空域滤波处理，所提方法有效提升了SFAP的计算效率和抗干扰能力。所提方法除了能够应对平稳干扰，也能够有效抑制威胁更大的非平稳干扰。

关键词: 全球卫星导航系统, 空频自适应处理, 短时傅里叶变换, 抗干扰

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

中图分类号:

TN967.1

赵正义, 南普龙. 基于短时傅里叶变换的高效空频自适应抗干扰方法[J]. 系统工程与电子技术, 2025, 47(6): 1778-1785.

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.

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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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