We consider a Bonferroni-type lower bound due to Kounias on the probability
of a finite union. The bound is expressed in terms of only the individual
and pairwise event probabilities; however, it suffers from requiring an exp
onentially complex search for its direct implementation. We address this pr
oblem by presenting a practical algorithm for its evaluation. This bound is
applied together with two other bounds, a recent lower bound (the KAT boun
d) and a greedy algorithm implementation of an upper bound due to Hunter, t
o examine the symbol error (P-s) and bit error (P-b) probabilities of an un
coded communication system used in conjunction with M-ary phase-shift keyin
g (PSR)/quadrature amplitude (QAM) (PSK/QAM) modulations and maximum a post
eriori (MAP) decoding over additive white Gaussian noise (AWGN) channels. I
t is shown that the bounds-which can be efficiently computed-provide an exc
ellent estimate of the error probabilities over the entire range of the sig
nal-to-noise ratio (SNR) E-b/N-0. The new algorithmic bound and the greedy
bound are particularly impressive as they agree with the simulation results
even during very severe channel conditions.