A 2D-direction of arrival estimation(DOAE) for multiinput and multi-output(MIMO) radar using improved multiple temporal-spatial subspaces in estimating signal parameters via rotational invariance techniques method(TS-ESPRIT) is introduced. In order to realize the improved TS-ESPRIT, the proposed algorithm divides the planar array into multiple uniform sub-planar arrays with common reference point to get a unified phase shifts measurement point for all sub-arrays. The TS-ESPRIT is applied to each sub-array separately, and in the same time with the others to realize the parallelly temporal and spatial processing, so that it reduces the non-linearity effect of model and decreases the computational time. Then, the time difference of arrival(TDOA)technique is applied to combine the multiple sub-arrays in order to form the improved TS-ESPRIT. It is found that the proposed method achieves high accuracy at a low signal to noise ratio(SNR)with low computational complexity, leading to enhancement of the estimators performance. A 2D-direction of arrival estimation (DOAE) for multiinput and multi-output (MIMO) radar using improved multiple temporal-spatial subspaces in estimated signal parameters via rotational invariance techniques method (TS-ESPRIT) TS-ESPRIT, the proposed algorithm divides the planar array into multiple uniform sub-planar arrays with common reference point to get a unified phase shifts measurement point for all sub-arrays. The TS-ESPRIT is applied to each sub-array separately, and in the same time with the others to realize the parallelly temporal and spatial processing, so that it reduces reduces the non-linearity effect of model and decreases the computational time. Then, the time difference of arrival (TDOA) technique is applied to combine the multiple sub-arrays in order to form the improved TS-ESPRIT. It is found that the proposed method achieves high accuracy at a low signal to noise ratio (SNR) with low computational complexity, leading to enhancemen t of the estimators performance.