An iGOMP Channel Estimation for V2V Channels under the scenarios of Scattering Environments

an improved generalized orthogonal matching pursuit (iGOMP) channel estimation scheme for V2V channel model in urban scattering environments is proposed in this paper. The iGOMP can split the channel estimation problem into a sparse signal recovery issue, which replaces the classical inner product criterion with the Dice atom matching criterion, and integrates with the atomic weak progressive selection method to avoid that the inner product criterion cannot select the optimal atom from the redundant dictionary. Then, to achieve the optimal channel estimation, we use the feedback results to iterate. Finally, numerical simulations demonstrate the effectiveness of the iGOMP in comparison with other conventional channel estimation schemes. Besides, both the complexity and running time of each algorithm are carried out to compare the performance of the proposed algorithm with those of the existing state-of-the-art methods for V2V channels.