Estimation of the parameters of a multipath channel using set-theoretic deconvolution

A method for the estimation of the parameters of specular multipath communication channels is presented. The method takes advantage of the matched filtering, set-theoretic deconvolution and autoregressive modeling. Pulse compression waveforms such as chip and frequency-hop coding waveforms are used as channel problem signals. The proposed method, applied to a number of multipath channel models with closely spaced path components, produces high-resolution estimates of multipath parameters at signal-to-noise ratios higher than 5 dB