.png){kind=icon}
.png){kind=icon}
Return
Efficient Joint Source and Sensor Localization in Closed-Form
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2012.2197825.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This letter considers the problem of simultaneously locating multiple disjoint sources and refining erroneous sensor positions using TDOA measurements. The previous work by Yang and Ho [1] to solve this problem cannot provide optimum accuracy for the sensor positions. The proposed estimator improves the previous method so that both the source and the sensor position estimates can achieve the Cramer-Rao lower bound (CRLB) accuracy. The theoretical derivation is corroborated by simulations.
Keywords:
Source and sensor localization
TDOA
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
