Work

Robust Direction-of-Arrival Estimation using improved Coprime Array for Wireless Communication Applications

Year: 2025

Type: article

Abstract: In wireless communication systems, robust and accurate Direction-of-Arrival (DOA) estimation is essential for tasks such as beamforming and interference suppression. This research presents advancements in the Multiple Signal Classification (MUSIC) algorithm leveraging enhanced coprime sensor arrays for DOA estimation. Coprime arrays, characterized by their non-uniform spacing derived from coprime integers, offer superior angular resolution compared to traditional uniform arrays. By exploiting this unique array geometry, the proposed method enhances the spatial localization capabilities of the MUSIC algorithm, thereby improving signal detection and mitigation of interference. Experimental validation demonstrates the efficacy of the approach in various signal environments, highlighting its potential to enhance the performance and reliability of wireless communication systems.

Source: Engineering Technology & Applied Science Research

DOI: 10.48084/etasr.9042

Authors: K. S. Shashidhara, K. N. Venu, I. G. Saritha, Raghu Jayaramu, Veerendra Dakulagi

Institutions: Nitte Meenakshi Institute of Technology, Ramaiah Institute of Technology, Guru Nanak Dev University

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $431

OpenAlex ID: W4407079255

FWCI: 1.955

Cites: 24

Cited by: 4

Related to: 10