AULAs: A Novel Family of Augmented ULAs for Enhanced Localization of Non-Circular Sources with Reduced Mutual Coupling Effects
Abdul Hayee Shaikh, Xiaoguang Liu

TL;DR
This paper proposes a new family of sparse array designs called AULAs, which improve non-circular source localization by enlarging virtual aperture, increasing degrees of freedom, and reducing mutual coupling effects through various innovative configurations.
Contribution
The paper introduces AULAs and their variants, providing a unified framework for enhanced localization, larger virtual apertures, and reduced mutual coupling in array design.
Findings
AULAs achieve larger virtual apertures and increased DOFs for NCS.
SAULAs minimize co-array redundancy and improve DOFs.
TSAULAs reduce mutual coupling effects while maintaining performance.
Abstract
In this paper, we introduce a family of novel sparse array designs called the augmented ULAs (AULAs) for the localization of non-circular signals (NCS). Accurate direction of arrival (DOA) estimation and the ability to resolve multiple targets are critical in modern wireless communication systems. Most existing sparse arrays are optimized solely for the difference co-array, making them less efficient at utilizing the sum co-array resulting from the non-zero pseudo-covariance of NCS. Meanwhile, state-of-the-art designs for joint optimization of the sum and difference co-arrays remain constrained by a three-way performance trade-off. The proposed AULAs configure single sparse and two dense ULAs alongside two separate elements to achieve a perfect splicing of holes and lags in the difference and sum co-array. This results in a larger virtual aperture and increased DOFs for NCS. Building on…
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