Sparsity-aware multi-source RSS localization ?
We tackle the problem of localizing multiple sources in multipath environments. We exploit the information present in the cross-correlations using a novel fingerprinting. We enhance our proposed approach by incorporating the other time lags of the correlation functions. We also present a method which is blind to the statistics of the source signals. Our approaches lead to a significant gain in terms of number of identifiable sources.
multipath environments multi-source localization rss fingerprinting sparse reconstruction