Robust adaptive subspace detectors for space time processing

We consider the problem of detecting a subspace signal when there is uncertainty in the subspace. Such uncertainty usually causes a mismatch between the detector and the signal to be detected, which may lead to significant loss in performance. To improve the robustness of the detection procedure we apply robust adaptive subspace detectors based on extending the dimension of the signal subspace. We consider two types of adaptive constant false alarm rate (CFAR) detector structures for the extended subspace detectors: CFAR generalized likelihood ratio detector (CFAR GLR) and CFAR matched subspace detector (CFAR MSD). Using Monte-Carlo simulations, we study the performance of the robust adaptive subspace detectors for space time processing