Abstract

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 to achieve an output signal-to-interference-plus-noise ratio (SINR) -10 log/sub 10/ r [dB] (r/spl les/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.

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