A novel blind adaptive beamforming algorithm for smart antenna in MC-CDMA uplink system
Kiattisak Maichalernnukul, SOMCHAI JITAPUNKUL
Abstract
Kiattisak Maichalernnukul, SOMCHAI JITAPUNKUL
Abstract
This work presents a novel blind adaptive beamforming algorithm based on maximum signal-to-interference-and-noise ratio (MSINR) criterion for MC-CDMA uplink system with antenna array. The proposed algorithm namely recursive generalized Lagrange multiplier (RGLM) method has lower computational complexity than the well-known GLM method. Our simulation results show that the proposed algorithm has fast convergence and tracking property. Moreover, it can achieve better BER performance compared to the GLM method although in near-far effect environment.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This work presents a novel blind adaptive beamforming algorithm based on maximum signal-to-interference-and-noise ratio (MSINR) criterion for MC-CDMA uplink system with antenna array. The proposed algorithm namely recursive generalized Lagrange multiplier (RGLM) method has lower computational complexity than the well-known GLM method. Our simulation results show that the proposed algorithm has fast convergence and tracking property. Moreover, it can achieve better BER performance compared to the GLM method although in near-far effect environment.
Key concepts: Telecommunications link, Code division multiple access, Computer science, Computational complexity theory, Smart antenna, Algorithm, Lagrange multiplier, Beamforming