5.5 Estimating Probability of Error for PAM
The goal of this section is to obtain an expression for the symbol error probability for PAM on AWGN channels using ML. The symbols are assumed to have a uniform prior distribution and the optimal MAP criterion coincides with the ML.
The PAM constellation is assumed to have the same distance among the neighbor symbols and all symbols are equiprobable. Listing 2.8 gives an example where . In general, the PAM symbols are: . In the case of PAM, the 2 symbols at the extrema of the constellation have only one neighbor, while the others have two. Hence, for a M-PAM with the symbols uniformly distributed with probability ,
where . It is useful to rewrite Eq. (5.6) in terms of SNR. Assuming matched filtering with , it has been shown that
| (5.7) |
where the subscript nMF recalls that this SNR is obtained at the output of a matched filter when the (normalized) shaping pulse has unitary energy.
For PAM, depends only on and . Hence, using Eq. (2.10), to express in terms of and leads to
| (5.8) |
and, for PAM, one can write
| (5.9) |
such that for PAM:
Note that, for sufficiently high (say or, equivalently, )
Estimating the bit error probability is more evolved and the approximation of Eq. (2.4) is often adopted.
5.5.1 The union bound
Sometimes it is not necessary to have a precise value for but only a bound on its maximum value in a given setup.
The union bound states that the probability of symbol error for the ML detector on AWGN with an -point constellation is
mind_min
min =