An improvement in convergence and BER performance is achieved by using a minimum bit error rate (MBER) cost function instead of a conventional LMS-based design.
Tested by an OC-768 tester, a system bit error rate (BER) of lower than 1 × 10−12 has been obtained.
This is the more relevant measure, since the detection of a single bit error in a packet by the cyclic redundancy check causes the packet to be discarded by the receiver.
Information loss is quantified by the bit error rate (BER) of a recovered binary phase-coded signal.
The performance is evaluated by the bit error rate (BER) as a function of the E b /N0 ratio.
Figure 4 further illustrates this point, by showing bit error performance versus interleaver depth, with a convolutional channel code having r c=1/3, constraint length ν=6, and d min=14 [13, 21], over a Rayleigh fading channel with f D T s=0.005 (i.e., N coh=200).
The performance is assessed by the bit error rate (BER), that is, the average number bit errors.
The wireless channel is represented by a finite-state Markov chain, the states of which are characterized by their bit error rate (BER) denoted by p i, i ∈ {0, 1,..., N}.
BER is defined as the number of bit errors divided by the total number of transmitted bits during an evaluated time interval, which is usually approximated by the bit error probability, i.e., the probability that bit '0' or '1' is wrongly decoded by the receiver.
The four different fixed sequences contained different combinations of source distortion (defined by QP) and channel distortion (defined by bit error rate, BER).
