Moving target detection for distributed MIMO radar with imperfect waveform separation

In this paper, we consider the problem of detecting a moving target with a distributed multiple-input multiple-output (MIMO) radar when perfect waveform separations at the local receivers are no longer valid. By formulating a composite hypothesis testing problem with a subspace modeling of the target residual, the generalized likelihood ratio test (GLRT) is developed by deriving the maximum likelihood (ML) estimates of the unknown parameters. Simulation results are provided to compare the proposed GLRT solution with existing MIMO detectors that do not account for target residuals.