Name
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 computation to achieve an output signal-to-interference-plus-noise ratio -10 log10 r dB (r ≤ 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. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TWC.2003.814333 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
weight-convergence analysis,despreading process,faster convergence,adaptive antenna,weight convergence,weight computation,chip-level computation,log10 r db,symbol-level computation,weight computational method,smi algorithm,wireless communications,signal to noise ratio,code division multiple access,wireless communication,convergence,sample matrix inversion,chip,mobile communication,algorithm design and analysis,signal to interference plus noise ratio | Convergence (routing),Mobile radio,Computer science,Algorithm,Signal-to-interference-plus-noise ratio,Rate of convergence,Sample matrix inversion,Code division multiple access,Computation | Journal |
Volume | Issue | ISSN |
2 | 4 | 1536-1276 |
Citations | PageRank | References |
3 | 0.48 | 3 |
Authors | ||
1 | ||