Echo Signal Processing / Oennis W. Ricker. p.em. -(The Kll1\\'cr International Series in Engineering and Computer Science; SECS 725) Includes bibliographical references and index.

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A deconvolution technique utilized in image restoration is applied to the problem of estimating the scattering function of a communication channel. Under wide sense stationary and uncorrelated scattering (WSSUS) conditions, the expected matched filter output is equal to the two-dimensional convolution of the scattering function with the ambiguity function of the interrogating waveform. This convolution process introduces a known blur, the ambiguity function of the transmitted signal, which can be partially removed using a constrained iterative deconvolution technique. A preprocessed matched filter output is used to lessen the amount of unwanted additive noise that is incorporated into the deconvolution process. In the no-constraint case, it is equivalent to the practice of performing a pseudoinversion using a truncated singular value decomposition (SVD). This particular preprocessed image effectively combines the truncated SVD and Van Cittert deconvolution schemes.

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