Abstract
Incorporating error correcting coding techniques into target localization provides an immediate advantage that
existing decoding algorithms can be used to determine which area the target is most likely located in. The important
knowledge of exact sensor positions is, however, ignored in these decoding algorithms. This paper revisits the problem
and shows that based on the weighted average of sensor positions with binary weightings from local decisions, a newly
proposed decoding criterion can achieve a much better accuracy in target localization than the soft-and hard-decision
rules proposed in [1], particularly when a certain number of sensors are under Byzantine attacks.