Weight convergence analysis of SMI adaptive antennas

摘要

This paper presents weight convergence of adaptive array antennas based on sample matrix inversion (SMI) algorithm. Firstly, we derive required number of samples for weight computation to achieve an output signal-to-interference-plus-noise ratio (SINR) -10log_10rdB (r ≤ 1) below an optimal value. Next, we describe weight convergence of CDMA adaptive array antennas based on SMI algorithm, where two types of weight computation methods are compared between chip-level weight computation and symbol-level weight computation. Analytical and simulation results reveals that chip-level weight computation before despreading process enables faster convergence than symbol-level weight computation after despreading process.