Question

Use Matlab to simulate a communication system which

a)takes an input sequence of bits entered from the keyboard
b)performs vector encoding using 128QAM constellation
c)modulates the encoded vector to generate the transmitted symbols
d)pass the transmitted symbols through AWGN communication channel
e)demodulates the received symbols
f)performs MAP/ML detection to retrieve the transmitted encoded vectors
g)decode the vectors to recover the transmitted sequence of bits.

Answer 1

The student's question involves simulating a communication system in MATLAB that employs 128QAM encoding, transmission through an AWGN channel, and MAP/ML detection for the recuperation of the original bit sequence. This simulation showcases the entire process from input gathering to final bit sequence recovery, offering insights into digital communication systems design and noise minimization techniques.

Step-by-step explanation:

The student's question pertains to the simulation of a communication system using MATLAB, which involves several steps, starting from taking an input sequence of bits and ending in the recovery of the transmitted bit sequence. The process involves the use of a 128QAM (Quadrature Amplitude Modulation) constellation for encoding, modulation of the encoded vector, transmission through an Additive White Gaussian Noise (AWGN) channel, demodulation, and then MAP/ML (Maximum A Posteriori/Maximum Likelihood) detection for retrieving the encoded vectors. Finally, the vectors are decoded to recover the original sequence of bits. Simulation of a communication system provides an understanding of signal propagation and the impact of noise, which is crucial in designing robust communication systems.

1. Input bit sequence acquisition from the keyboard.
2. Vector encoding using 128QAM.
3. Modulation to generate transmitted symbols.
4. Passing through an AWGN channel.
5. Demodulation of received symbols.
6. Performing MAP/ML detection for encoded vector retrieval.
7. Decoding the vectors to recover the transmitted bit sequence.

Through this simulation, students can understand the complexities involved in signal processing and the methods used to minimize the error rate in digital communication systems. Knowledge of MATLAB is essential for this simulation, as it provides powerful tools for digital signal processing and communication system design.