Channel Estimation Techniques in Wireless Communication

In today's world, wireless communication is the most widely used mode of communication. In wireless communication, users generally do not have control over channel properties such as temperature, background noise, etc. in a sense that these channel properties cannot be altered by users according to their requirements. These channel characteristics cause produce impairments in the signal. This necessitates the use of different signal processing techniques which can equalize these effects. Wireless channel is mathematically characterized by Channel Impulse Response (CIR). The mathematical technique to characterize a wireless channel is called as Channel Estimation. In this paper, we will discuss different mathematical channel models and channel estimation techniques based on Machine Learning and Deep Learning along with the necessary mathematical background.