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Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix
Jinjie Yao1, Changchun Zhao1, Jiansheng Bai1
1Shanxi Key Laboratory of Signal Capturing & Process, North University of China, Taiyuan 030051, China.
This study introduces a new algorithm for estimating the direction of arrival (DOA) of satellite navigation interference. The frequency domain covariance matrix reconstruction (FDCMR) method effectively detects interference signals, even in low signal-to-noise ratio conditions.
Area of Science:
- Satellite Navigation Systems
- Signal Processing
- Electromagnetics
Background:
- Active interference poses a significant threat to satellite navigation accuracy.
- Existing Direction of Arrival (DOA) estimation methods struggle with low signal-to-noise ratio (SNR) and coherent signals.
Purpose of the Study:
- To propose a novel DOA estimation algorithm for satellite navigation interference.
- To enhance interference detection and anti-interference capabilities in satellite navigation.
Main Methods:
- Frequency Domain Covariance Matrix Reconstruction (FDCMR) applied to array signals.
- Fast Fourier Transform (FFT) for time-to-frequency domain conversion.
- Spatial spectrum search for final DOA estimation.
Main Results:
- The proposed FDCMR algorithm accurately estimates DOA under low SNR conditions.
- The algorithm successfully resolves coherent signals.
- Performance is validated against three other algorithms and in various interference scenarios.
Conclusions:
- The FDCMR algorithm offers a robust solution for DOA estimation of satellite navigation interference.
- This method improves the reliability of satellite navigation systems in the presence of active interference.
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