Linear and Non-linear Estimation Techniques: Theory and Comparison
Raja Manish

TL;DR
This paper reviews the theory of linear and non-linear estimation techniques, illustrating their differences through an example, to aid in understanding their applications in system analysis.
Contribution
It provides a comparative analysis of linear and non-linear estimation methods with theoretical explanations and practical examples.
Findings
Linear and non-linear estimations have distinct theoretical foundations.
Non-linear estimation techniques can handle more complex system behaviors.
The paper demonstrates differences through a practical example.
Abstract
The wide application of estimation techniques in system analysis enable us to best determine and understand the history of system states. This paper attempts to delineate the theory behind linear and non-linear estimation with a suitable example for the comparison of some of the techniques of non-linear estimation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSensor Technology and Measurement Systems · Control Systems and Identification · Target Tracking and Data Fusion in Sensor Networks
