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Implementation of a Reference Interferometer for Nanodetection

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Published on: April 26, 2014

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

Xinhua Tang^1,2, Yiming Wang^1,2

¹Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology of Ministry of Education, Southeast University, Nanjing 210096, China.

Sensors (Basel, Switzerland)

|June 12, 2026

Summary

This summary is machine-generated.

This study introduces a novel Newton-iteration-enhanced RIFE algorithm for Global Navigation Satellite System (GNSS) anti-jamming. The method significantly improves interference suppression and maintains high accuracy in dynamic environments.

Keywords:

FFT spectrum analysis FPGA GNSS anti-jamming frequency estimation

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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.