Adaptive Filter. This script shows the ber performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.
Computes ber v EbNo curve for convolutional encoding / soft decision
Viterbi decoding scheme assuming BPSK.
Brute force Monte Carlo approach is unsatisfactory (takes too long)
to find the ber curve.
The computation uses a quasi-analytic (QA) technique that relies on the
estimation (approximate one) of the information-bits Weight Enumerating
Function (WEF) using
A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the ber is used.
This program simulates the bit-error-rate (ber) performance of OSTBC
with L=4 antennas over the frequency flat Rayleigh block fading channel
The code is developed for real orthogonal design, code rate 1/2
modulation- 16 QAM with gray coding resulting in 2 bits/sec/Hz.
