Direct Position Determination of Multiple Non-Circular Sources with a Moving Coprime Array

Area of Science:

• Wireless communication
• Signal processing
• Array signal processing

Background:

• Direct position determination (DPD) offers higher accuracy than traditional two-step positioning.
• Existing DPD algorithms using uniform arrays have limitations in degrees of freedom and accuracy.
• Accurate localization of multiple non-circular sources remains a challenge.

Purpose of the Study:

• To improve the accuracy of direct position determination (DPD) for multiple non-circular sources.
• To introduce a novel DPD algorithm utilizing a coprime array with a moving array.
• To analyze the performance and complexity of the proposed DPD method.

Main Methods:

• A coprime array is integrated into the DPD model for multiple non-circular sources with a moving array.
• Covariance matrix reconstruction via vectorization and spatial smoothing are applied.
• Subspace data convergence is used to establish a cost function for position estimation.

Main Results:

• The proposed algorithm accurately determines the position coordinates of multiple non-circular sources.
• Theoretical analysis and simulations confirm improved positioning accuracy compared to existing methods.
• The algorithm demonstrates applicability to both circular and non-circular sources.

Conclusions:

• The coprime array-based DPD method significantly enhances localization accuracy for multiple non-circular sources.
• This approach offers a notable improvement over traditional two-step positioning and uniform array DPD algorithms.
• The proposed technique provides a more accurate and robust solution for wireless localization challenges.