Research on GTM echo detection algorithm under reverberation background

Traditional matched filtering algorithm does not work well under the reverberation background, On the basis of analyzing non-stationarity, colority and non-Gaussian of reverberation, this paper presents a Gaussian mixture time-varying autoregressive model (GTM for short), derives the model formula and parameter solving method, and then establishes the GTM echo detection algorithm. To describe reverberation features and filtering effect quantitatively, a reverberation feature evaluation method is presented. According to the analysis of measured reverberation, the GTM model can better fit the measured probability density and power spectral density curves, and effective echo detection can be done by this algorithm under the reverberation background, meanwhile the reverberation features are also improved.