Height Measurement of Low-Angle Target Using MIMO Radar Under Multipath Interference

For a very high frequency radar, multiple reflection paths, i.e., multipaths, of target echoes may cause severe errors in elevation estimation of low-angle targets, especially in the case of complex terrain where exact information of reflection paths is unknown. To deal with this problem, a practical multipath signal model for multiple-input multiple-out (MIMO) radar in complex terrain is first presented, where both transmitted multipaths and received multipaths are considered. A novel altitude estimation technique based on rank-1 constraint and sparse representation is then proposed. Simulation results show that the target localization accuracy can be efficiently improved by using our proposed technique under both simple and complex multipath scenarios.