Vehicle-to-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit

With the development of autonomous vehicle operation, vehicle-to-vehicle (V2V) communication plays an increasingly important role. However, in high-speed mobile environments, the channel has fast time-varying, which significantly decreases the property of channel estimation. To alleviate such issues, this study proposes a channel estimation method by combining the sparrow search algorithm (SSA) and gated recurrent unit (GRU). This paper introduces the principle of the SSA and the basic concept of GRUs and elaborates on how to use them to improve channel estimation accuracy. Simulation results demonstrate the effectiveness of SSA-GRU architecture.