Blind Concurrent Beamforming

Candice Muller, Fernando de Castro

DOI: 10.14209/sbrt.2025.1571151076

Evento: XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2025)

Keywords:

Abstract

This paper proposes a blind concurrent beamformer (BCB) algorithm that combines the Constant Modulus Algorithm (CMA) and Direct Decision (DD) in a cooperative structure. The proposed BCB is evaluated over a six-dipole uniform circular array in different interfering scenarios, and the results are compared with the classical supervised least mean squares (LMS). Notably, despite operating without a training sequence, BCB outperformed LSM in terms of symbol error rate (SER). The proposed BCB effectively place nulls in the angular direction of the interfering signals while steering the main lobe toward the desired signal (DS), except in scenarios where the interference is spatially too close to the DS. Results show that the proposed BCB approach offers a robust, blind beamforming solution with low computational complexity and high spectral efficiency.

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