In a wireless communication system, transmitted signals experience distortion and attenuation as they propagate through the environment. This effect is usually modelled as a linear time-invariant system with unknown channel parameters. Accurate channel estimation is essential for reliable communication.
Least Square (LS) is a traditional mathematical approach to estimating the channel. This post tries to use Deep Learning (DL) based method that uses neural networks to create a mapping between inputs and outputs.
Thanks to Dheeraj Sharma for authoring this.
