2017
Sparse error correction with multiple measurement vectors: Observability-aware approach
ICASSP 2017accepted
We study sparse gross error correction for state estimation in a non-linear sensing system. We consider a practical assumption that gross errors are sparse, and their locations tend to be invariant over a few consecutive measurement periods. Under the assumption, a robust state estimation and error…