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In this letter, we consider the problem of constant false alarm rate (CFAR) detection in heterogeneous scenarios. We assume that the covariance matrices of the training samples are different from that of the cell under test and employ prior statistical knowledge to describe the degree of heterogeneity. We derive an approximate expression of the average signal-to-clutter-noise ratio loss of the adaptive...
Recognition between true and false ballistic warheads is an important problem in missile defense. In this paper, a multiple-input multiple-output (MIMO) radar with distributed antennas is employed to observe the scene from distinct directions to gain multi-dimensional information of the warheads. A state space model (SSM) is developed to describe the motion behavior of the warheads (state equation)...
The micro-motion characteristics of warheads have been utilized to discriminate false warheads from true ones. To obtain accurate dimensional measurements, a multiple-input multiple-output (MIMO) radar is adopted to observe the kinetic information of the warhead. A distributed state space model (SSM) is built and the differences between the true and false warheads are characterized as different system...
Range sidelobes increase the clutter subspace so that clutter rank is significantly higher than the rank of an idealized orthogonal waveform set. A rigorous proof is provided. Simulation results verified the conclusion.
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