Online source number estimation based on sequential hypothesis test and subspace tracking
| Autor: | Zhang-meng Liu, Zhitao Huang, Liu-li Wu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Estimation
Signal processing Computer science Computation SIGNAL (programming language) 020206 networking & telecommunications 02 engineering and technology Tracking (particle physics) Signal Processing 0202 electrical engineering electronic engineering information engineering Enumeration 020201 artificial intelligence & image processing Electrical and Electronic Engineering Algorithm Subspace topology Statistical hypothesis testing |
| Zdroj: | Signal, Image and Video Processing. 13:307-311 |
| ISSN: | 1863-1711 1863-1703 |
| DOI: | 10.1007/s11760-018-1358-x |
| Popis: | We investigated the problem of source enumeration in array signal processing. The conventional batch estimating methods do not yield satisfactory tracking performance in a dynamic environment. In order to solve this problem, an online source number estimation method is proposed in this paper. The developed algorithm exploits subspace tracking and hypothesis test to update the estimation of the signal number sequentially. Simulation results validate the superiority of the new method in terms of tracking capacity and computation efficiency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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