Adaptive detector and simulation analyses for range-spread target in structured interference plus noise

In this paper we consider the adaptive detection problem of range-spread targets embedded in structured interference plus white Gaussian noise. The target signal and interference are assumed to lie in two linearly independent subspaces with unknown coordinates. Aiming at the problem of range-spread target detection in structured interference, we design two detectors based to the criterion of Gradient test, for known or unknown noise power, respectively. Simulation results show that, compared with the existing detectors without considering interference, the proposed detectors exhibit better detection performance. Furthermore, the proposed detectors can reject the interference effectively.