Analysis and investigation the estimation accuracy and reliability of Pisarenko Harmonic Decomposition algorithm
| Autor: | A. Zweid, M. M. Abusitta, Mohammed A. G. Al-Sadoon, S. M. R. Jones, Khalid W. Hameed, Raed A. Abd-Alhameed |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Pseudospectrum
Signal processing business.industry Computer science 020208 electrical & electronic engineering Monte Carlo method Direction of arrival Tracking system 02 engineering and technology Signal 020204 information systems 0202 electrical engineering electronic engineering information engineering business Spurious relationship Algorithm Pisarenko harmonic decomposition |
| Zdroj: | 2017 Internet Technologies and Applications (ITA). |
| DOI: | 10.1109/itecha.2017.8101948 |
| Popis: | Direction of arrival (DOA) estimation is currently an active research topic playing a fundamental role in many applications including electromagnetic, tracking systems and signal processing applications. This paper evaluates the performance estimation of Pisarenko Harmonic Decomposition (PHD) algorithm and then compares it with multiple signal classification (MUSIC) method based on narrowband signal conditions. The main purpose of this evaluation is to investigate the effect of the spurious peaks (spurious angles) that appears on the pseudospectrum of the PHD on the estimation precision. The principle working in addition to mathematical model of the DOA model and PHD method are presented. An exhaustively Monte Carlo simulation is performed to explain this problem. A useful recommendation is provided to overcome this problem. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|