In this paper, we present a new two stage maximum likelihood based estimator for bearing only target localization. In the proposed method, first a coarse and fast estimation of target location is performed. Then in the second stage, the primary estimated location and its features would be applied to extract the noise variance and restrict the search area. Our proposed method in the second stage is capable of being implemented parallelly and simulation results show that our proposed method outperforms traditional bearing only localization algorithms.
Fardad, M., Ghorashi, S.A., Shahbazian, R. (2014). A novel maximum likelihood based estimator for bearing-only target localization. In 22nd Iranian Conference on Electrical Engineering, ICEE 2014 (pp. 1522-1527). Piscataway : Institute of Electrical and Electronics Engineers [10.1109/IranianCEE.2014.6999776].
A novel maximum likelihood based estimator for bearing-only target localization
Shahbazian R.
2014-01-01
Abstract
In this paper, we present a new two stage maximum likelihood based estimator for bearing only target localization. In the proposed method, first a coarse and fast estimation of target location is performed. Then in the second stage, the primary estimated location and its features would be applied to extract the noise variance and restrict the search area. Our proposed method in the second stage is capable of being implemented parallelly and simulation results show that our proposed method outperforms traditional bearing only localization algorithms.
| File | Dimensione | Formato | |
|---|---|---|---|
|
A_novel_maximum_likelihood_based_estimator_for_bearing-only_target_localization.pdf
Solo gestori archvio
Tipologia:
Versione Editoriale
Dimensione
635.47 kB
Formato
Adobe PDF
|
635.47 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
