Abstract
Weight-convergence analysis of adaptive antenna arrays based on the sample matrix inversion (SMI) algorithm is presented. First, we derive a required number of samples for weight to achieve an output signal-to-interference-plus-noise ratio -10 log/sub 10/ r dB (r /spl les/ 1) below an optimum value. Next, we evaluate weight convergence of code-division multiple-access adaptive antenna arrays 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 despreading process, enables faster convergence than symbol-level computation, after the despreading process.
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