tzw-666
commented
5 months ago Nice to receive your issues. This just an uncompleted project to recurrent the model proposed in the paper DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer. And then I will introduce the two files in this project.
- The deep_receiver.ipynb consists of a deep nerual network aiming at converting IQ sequence to binay sequence. The imput of this model is not a complex sequence but an real array concatented by real part sequence and the imaginary part sequence of a complex IQ signal sequence. So if the IQ sequence is $(a_1+ b_1j, a_2 + b_2j, \cdots, a_n+b_nj)$ then the input will be $(a_1, a_2, \cdots , a_n, b_1, b_2, \cdots , b_n)$.
- The modulate_base.ipynb is designed to create the data set for simulation. The name of this file is not so precise to make you confused. I construct a class with a encoder and a decoder based on Hamming Code in this file because I haven‘t found a function can do this conveniently. I am trying to complete this work, so I will push the code I recently coded. And it may make you better understand the whole project.
Can you briefly explain the logical relationship between the modulate_base.ipynb file and the deep_receiver.ipynb file? I don’t seem to find where the input of the complex signal binary data set is.