Estimation of Interference Arrival Direction Based on a Novel Space-Time Conversion MUSIC Algorithm for GNSS...

Area of Science:

• Signal Processing
• Array Signal Processing
• Electromagnetics

Background:

• The Multiple Signal Classification (MUSIC) algorithm suffers from increased direction-finding errors with multiple or weak interference signals.
• Accurate direction of arrival (DOA) estimation is crucial in various applications, including radar and wireless communications.

Purpose of the Study:

• To propose a novel Space-Time Conversion MUSIC (STC-MUSIC) algorithm to enhance DOA estimation performance for interference signals.
• To introduce a focusing parameter to improve DOA estimation accuracy and robustness.
• To develop a variable step size peak search method for computational efficiency.

Main Methods:

• Development of the Space-Time Conversion MUSIC (STC-MUSIC) algorithm.
• Introduction of a focusing parameter to enhance signal subspace.
• Implementation of a variable step size peak search for optimization.

Main Results:

• The STC-MUSIC algorithm effectively improves the purity of the noise subspace.
• Significant improvements in the precision and robustness of DOA estimation for interference signals were observed.
• The algorithm demonstrates enhanced convergence, stability, and reduced root mean square error (RMSE) compared to traditional methods.

Conclusions:

• The proposed STC-MUSIC algorithm offers superior performance in DOA estimation for interference signals.
• The method is effective even in challenging scenarios with multiple or weak interfering signals.
• STC-MUSIC provides a more accurate, robust, and computationally efficient solution for DOA estimation.