Hybrid LMS algorithm with non-classical optimization technique for adaptive beamforming in smart antennas | |
| Author | San Yu Hlaing |
| Call Number | AIT RSPR no.TC-25-03 |
| Subject(s) | Beamforming Adaptive antennas |
| Note | A research study submitted in partial fulfillment of the requirements the degree of Master of Engineering in Telecommunications |
| Publisher | Asian Institute of Technology |
| Abstract | Adaptive beamforming plays an important role in signal processing by increasing the capacity and performance of radar systems and wireless communication networks. Using beamforming algorithms, smart antennas can direct the main beam toward desired users while placing nulls in the direction of interference sources. The Least Mean Square (LMS) algorithm is widely used adaptive methods for beamforming that operates by iteratively updating the weight vectors of antenna array elements. However, the LMS algorithm has been required careful tuning of its parameter, particularly the step size, to achieve fast convergence and low steady-state error under varying array configurations and fading conditions. In dynamic environments, the LMS algorithm must be continuously adapted to maintain optimal performance. This study proposes a hybrid approach integrating Genetic Algorithm (GA) with the classical Least Mean Square (LMS) algorithm to optimize the step-size parameter for adaptive beamforming. The proposed LMS-GA hybrid method aims to enhance convergence speed, minimize steady-state error, and improve beamforming accuracy across various antenna array configurations. |
| Year | 2025 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Telecommunications (TC) |
| Chairperson(s) | Attaphongse Taparugssanagorn |
| Examination Committee(s) | Chantri Polprasert;Chaklam Silpasuwanchai |
| Scholarship Donor(s) | AIT Scholarships |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2025 |