id="para0001">Sensor networks with transmission random packet dropouts are considered.
id="para0002">Estimation from outputs with random matrices and correlated noises is addressed.
id="para0003">Filters are designed at sensors using its information and those from its neighbours.
id="para0004">The algorithms, based on covariances, are derived using an innovation approach.