Distributed analog coding of correlated Gaussian sources

We study the performance of distributed analog linear coding of multiple correlated multivariate Gaussian sources over the multiple access channel. Assuming the correlation structure is known both at the encoder and the decoder, optimal linear encoding and decoding is introduced. A general performance analysis is presented for both random and optimal linear encoders and compared to a lower bound on the achievable theoretical limit.