Y Rama Krishna¹, PV Subbaiah² and B Prabhakara Rao³, ¹PVP Siddhartha Institute of Technology, India, ²Amrita Sai Institute of Science & Technology, India and ³JNT University Kakinada, India

A smart antenna system combines multiple antenna elements with a signal processing capability to optimize its radiation and/or reception pattern automatically in response to the signal environment through complex weight selection. The weight selection process to get suitable Array factor with low Half Power Beam Width (HPBW) and Side Lobe Level (SLL) is a complex method. The aim of this task is to design a new approach for smart antennas to minimize the noise and interference effects from external sources with least number of iterations. This paper presents Heuristics based adaptive step size Complex Least MeanSquare (CLMS) model for Smart Antennas to speedup convergence. In this process Benveniste and Mathews algorithms are used as heuristics with CLMS and the improvement of performance of Smart Antenna System in terms of convergence rate and array factor are discussed and compared with the performance of CLMS and Augmented CLMS (ACLMS) algorithms.

Adaptive step size, CLMS, ACLMS, Benveniste Algorithm, Mathews algorithm.