A High-Precision Anti-Jamming Algorithm Based on Newton-Iteration-Enhanced Three-Spectral-Line RIFE with Real-Time...

Area of Science:

• Electrical Engineering
• Signal Processing
• Navigation Systems

Background:

• Global Navigation Satellite System (GNSS) signals are weak and susceptible to interference, especially high-dynamic linear frequency-modulated (LFM) jamming.
• Existing anti-jamming methods face challenges in balancing real-time processing with precise frequency estimation.
• Loss of receiver lock due to jamming can compromise navigation accuracy and reliability.

Purpose of the Study:

• To propose a novel anti-jamming algorithm for GNSS receivers.
• To enhance frequency estimation accuracy and real-time processing capabilities under jamming conditions.
• To implement and validate the proposed algorithm on a heterogeneous FPGA platform.

Main Methods:

• A Newton-iteration-enhanced three-spectral-line RIFE algorithm was developed.
• Coarse frequency estimation uses three-spectral-line RIFE to mitigate FFT fence effects.
• Newton-based quadratic refinement achieves high estimation accuracy with reduced FFT size.
• A fast-slow loop architecture on an FPGA (PL) and ARM (PS) was utilized for real-time interference suppression and system control.

Main Results:

• The proposed method achieved a 10.9 dB improvement over direct estimation under static interference.
• Significant outperformance against direct and conventional iterative methods was observed under chirp interference.
• The anti-jamming margin was extended to 82 dB J/S in GNSS closed-loop tests.

Conclusions:

• The proposed algorithm effectively balances estimation accuracy and processing latency.
• It offers a practical solution for GNSS anti-jamming in high-dynamic environments.
• The heterogeneous FPGA implementation ensures real-time performance and system robustness.