Low-grazing angle detection in compound-Gaussian clutter with MIMO radar

This paper focuses on the target detection in low-grazing angle using Multiple-input Multiple-output (MIMO) radar systems with widely separated antennas in compound-Gaussian clutter, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient considering the curved earth effect is derived. Then, the general signal model for MIMO radar is introduced in low-grazing angle, also, the generalised likelihood ratio test (GLRT) and generalized likelihood ratio test-linear quadratic (GLRT-LQ) are derived with known covariance matrix. Via the numerical examples, it is shown that the derived GLRT-LQ detector outperforms the GLRT detector in low-grazing angle, and both performance can be enhanced markedly when the multipath effects are considered.