Degradation in Source Location Accuracy in the Presence of Sensor Location Error

AI Thread Summary
The discussion revolves around understanding the concepts of Mean Squared Error (MSE) and theoretical MSE in the context of source localization accuracy, particularly when sensor location errors are present. The original poster is seeking clarification on these terms, as well as on Taylor series estimation and modified Taylor series. They express difficulty in grasping these concepts despite having been provided with relevant articles. Other participants encourage sharing additional resources and offer to help explain the basics in simpler terms. The conversation highlights the need for foundational knowledge in source localization and error analysis.
Weirdzzl
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Hi guys, i was given a project based on the above topic and i know very little on it. Can anyone help to explain what's the difference between MSE and therotical MSE. Taylor series estimation and the modified taylor series. Thanks
 
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Weirdzzl said:
Hi guys, i was given a project based on the above topic and i know very little on it. Can anyone help to explain what's the difference between MSE and therotical MSE. Taylor series estimation and the modified taylor series. Thanks

Welcome to the PF. Can you provide some web pointers to more information on the topics? Where have you been researching tghe topics?
 
berkeman said:
Welcome to the PF. Can you provide some web pointers to more information on the topics? Where have you been researching tghe topics?

Thx. Basically i was given some articles to read on and was having a hard time understanding the basic concepts on source localizaion. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?tp=&arnumber=1661121&isnumber=34760" is 1 example of an article on the topic. I am in serious need of help for some basic understanding. Really would appreciate someone who can explain in layman terms.
 
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