On numerical optimization of communications system design

This paper presents a technique for finding transmitter and receiver filters for a wide class of data transmission systems which minimize the bit error rate (BER). Our technique uses Monte Carlo simulation t o estimate the BER, coupled with mean field annealing (MFA) to optimize the pulse shapes. Modeling of the link can be as complex as simulation will allow, while MFA is resistant to the statistical scatter in the BER estimate from the simulation.In a complex example, MFA was coupled with Monte Carlo simulation techniques to find near-optimal transmit and receive filters for a satellite communications link, taking 6 CPU hours on a DECstation 3100. The bit error rate of the link was found to be as much as three orders of magnitude lower when using the MFA-constructed optimal filters than when using filters constructed by gradient descent and simulated annealing.

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Systematic design optimization of a competitive soft-concatenated decoding system

Joeressen

Schneider

Meyr

Proceedings of IEEE Workshop on VLSI Signal Processing

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Tel: +4 9-24 I -$07632, email: joeresse8ert. rwth-aachen. deDue to the advances in VLSI technology complete digital communication systems can today be implemented on single application specific VLSI circuits. The optimum choice of implementation parameters, such as signal wordlengths, is a critical design task since poor parameter choices can lead to costly designs. On the other hand, the high number of parameters to be selected span a large search space that is very difficult to handle. We present a new systematic approach to parameter selection in this paper and apply this approach to the design optimization of a decoding system for a concatenated coding scheme. Two convolutional codes are concatenated and both are decoded by soft decision decoding. This is facilitated by means of soft output decoding of the inner code. The performance of the scheme is better than that of the well known standard code with 64 states for moderate BER at equivalent implementation cost. The proposed coding scheme is thus an attractive alternative whenever high bit error rate performance is a prerequisite, e.g. for digital HDTV transmission.

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On numerical optimization of communications system design

Cited by 3 publications

References 7 publications

Optimization of transmitter and receiver filters for digital communication systems using mean field annealing

Optimization of transmitter and receiver filters for digital communication systems using mean field annealing

The joint optimization of transmitter and receiver filters for data transmission systems using mean field annealing

Systematic design optimization of a competitive soft-concatenated decoding system

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