Weight convergence analysis of adaptive array antennas based on SMI algorithm

The weight convergence analysis of adaptive array antennas based on a sample matrix inversion (SMI) algorithm is presented. Firstly, we derive the required number of samples for weight computation to achieve an output signal-to-interference-plus-noise ratio (SINR) -10 log₁₀ r [dB] (r⩽1) below an optimum value. Next, we present the weight convergence of CDMA adaptive array antennas based on the SMI algorithm, where two types of weight computational methods are compared between "chip-level computation" and "symbol-level computation". Analytical and simulation results reveal that "chip-level computation" before the despreading process enables faster convergence than "symbol-level computation" after the despreading process