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This paper addresses a partial spatial-differencing (PSD) approach for the direction of arrival estimation in a low-grazing angle (LGA) condition. By dividing the sample covariance matrix into several column subvectors, we first form the corresponding reconstructed subarray covariance matrices (RSCMs). We then calculate the spatial differencing matrix for the noise parts of RSCMs, while the non-noise...
Tools are presented to reliably identify a time-varying autoregressive (AR) model for a realization of a stochastic process with an arbitrary non-stationarity. Only limited a priori knowledge about the nature of the non-stationarity, namely the expected maximum rate of change of the model parameters, is necessary to estimate these parameters on-line. The criterion considered is a constrained least...
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