Performance enhancement of approximated model based near‐field sources localisation techniques
| Autor: | Parth Raj Singh, Yide Wang, Pascal Charge |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Approximation theory
Correction method Computer science Estimation theory 020208 electrical & electronic engineering 020206 networking & telecommunications Near and far field 02 engineering and technology Signal Processing 0202 electrical engineering electronic engineering information engineering Source separation Electrical and Electronic Engineering Performance improvement Performance enhancement Algorithm Degradation (telecommunications) |
| Zdroj: | IET Signal Processing. 11:825-829 |
| ISSN: | 1751-9683 1751-9675 |
| DOI: | 10.1049/iet-spr.2017.0006 |
| Popis: | Most of the existing near-field sources localisation methods are based on an approximated model. Making use of such an approximation brings degradation in the estimation accuracy. In this study, the authors propose a correction method to mitigate this problem and improve the estimation performance of the approximated model based methods. Simulation results show that the proposed technique can significantly improve the performance of the classical approximated model based near-field sources localisation methods. |
| Databáze: | OpenAIRE |
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