GLRT for two moving target models in multi-aperture SAR imagery

It is well known that multi-aperture SAR systems have the capability to detect moving vehicles and to estimate their radial speed and location. A number of techniques for moving target detection and estimation have been proposed in the past. Recently, the Generalized Likelihood Ratio Test (GLRT) approach has been proposed. This paper reviews the GLRT formalism starting from two most common moving target models; one is deterministic and the other stochastic. Assuming that the clutter has Gaussian probability density function (pdf), the same test statistic is derived for both target models.