Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering

Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering

This paper presents a quantized Kalman filter implemented using unreliable memories. We consider that both the quantization and the unreliable memories introduce errors in the computations, and we develop an error propagation model that takes into account these two sources of errors. In addition to...

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Bibliographic Details
Main Authors: Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
quantized Kalman filter
unreliable memories
energy optimization
error propagation
faulty hardware
Online Access:https://www.mdpi.com/1424-8220/22/3/853

Internet

https://www.mdpi.com/1424-8220/22/3/853

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