This work presents a multi-range cell and multi-pulse approach to radar detection problem. The derived detector performs clutter estimation using the neighboring range cells, clutter cancellation, threshold setting simultaneously and it eliminates the need for a separate CFAR operation. The radar clutter is modeled as compound-Gaussian and assumed to have fully-correlated unknown texture among the range cells in the window of interest. The target signal is composed of an unknown complex return and known Doppler steering vector. Generalized Likelihood Ratio Test (GLRT) is derived by means of estimating the clutter texture parameter and complex target return. Performance of the detector is investigated by means of numerical analysis and Monte-Carlo simulations.