Adaptive subspace detection of range-spread target in compound Gaussian clutter with inverse Gaussian texture

In this paper, we investigate the adaptive subspace detection of range-spread target embedded in compound Gaussian clutter. The inverse Gaussian distribution is considered to describe the texture of the clutter in order to match the non-Gaussian characteristic of sea clutter. Moreover, the range-spread target's energy is assumed to be spread not only in range dimension but also in Doppler dimension, which is more suitable for the practical situation. Thus, the range-spread target is modeled as a subspace signal which describes the range-spread and Doppler-spread. In this paper, an adaptive detector for a subspace range-spread target is derived by using two-step generalized likelihood ratio test (GLRT). Finally, the detection performance of the proposed detector is verified by experiments based on measured data and simulation data. The experimental results show that the detection performance of the proposed detector is better than that of the existing detectors.