Abstract: ‍ ‍The time reversal （TR） technology-based meter-wave multiple input multiple output （MIMO） radar could effectively utilize the reflected wave energy to improve the signal-to-noise ratio （SNR） greatly. However， due to the existence of multipath effects， the adopted conventional uniform linear array （ULA） would face the problem of accuracy decline and severe error fluctuation with elevation angle variation of ultra-low-altitude target height measurement. In order to reduce the influence of multipath effect， from the perspectives of array structure and algorithm implementation， the sparse array is applied to low-altitude target height measurement of meter-wave TR MIMO radar in this paper. Firstly， the specular reflection signal model of monostatic meter-wave TR MIMO radar based on sparse array is established. Then， combining generalized multiple signal classification algorithm and maximum likelihood algorithm， a low-altitude target height measurement method suitable for this model is proposed. Finally， the simulations show that the proposed sparse array-based meter-wave TR MIMO radar low-altitude target height measurement method have more significant structural advantages and better low-altitude target measurement performance.