339 research outputs found

    Approximate Linear Time ML Decoding on Tail-Biting Trellises in Two Rounds

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    A linear time approximate maximum likelihood decoding algorithm on tail-biting trellises is prsented, that requires exactly two rounds on the trellis. This is an adaptation of an algorithm proposed earlier with the advantage that it reduces the time complexity from O(mlogm) to O(m) where m is the number of nodes in the tail-biting trellis. A necessary condition for the output of the algorithm to differ from the output of the ideal ML decoder is reduced and simulation results on an AWGN channel using tail-biting rrellises for two rate 1/2 convoluational codes with memory 4 and 6 respectively are reporte

    Implementation of Multi-standard Wireless Communication Receivers in a Heterogeneous Reconfigurable System-on-Chip

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    Future mobile terminals become multi-mode communication systems. In order to handle different standards, we propose to perform baseband processing in heterogeneous reconfigurable hardware. Not only the baseband processing but also error decoding differs for every communication system. We already proposed implementations of the baseband processing part of an OFDM receiver and a Wideband CDMA receiver in a heterogeneous reconfigurable system-on-chip. The system-on-chip contains processing elements of different granularities, which includes our coarse-grained reconfigurable MONTIUM architecture. Now, we also implemented an adaptive Viterbi decoder in the same coarse-grained MONTIUM architecture. The rate, constraint length and decision depth of the decoder can be adjusted to different communication systems. We show that the flexibility in the coarse-grained reconfigurable architecture is more than 200 times as energy-efficient compared to a general purpose solution but only 24 times less efficient compared to a dedicated solution

    A hardware implementation of a Viterbi decoder for a (3,2/3) TCM code

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    The report details the design of a dedicated Viterbi decoder chip set for an Ungerboek (3,2/3) Trellis Coded Modulation code. It was the specific intention of the thesis to design a system that could be implemented on standard Field Programmable Gate Arrays (FPGA) yet still be able to cope with high bit rates. The focus of the research was to both evaluate and modify the existing VLSI design techniques and to develop new techniques to make this possible. Trellis Coded Modulation refers to a specific sub-class of convolutional codes that ire an example of coded modulation. In coded modulation there is a direct link between the encoding and modulation processes aimed at improving the performance of the code by introducing redundancy in the signal set used to transmit the code. Ungerboek developed a technique for mapping the encoded words onto points in the signal set, called mapping by set partitioning, that maximises the Euclidian distance between adjacent codewords, and hence maximises the minimum distance between any two output sequences in the code. The Viterbi algorithm is a maximum likelihood decoder for convolutional codes such as TCM. The operation of the Viterbi algorithm is based on using soft decision decoding to produce an estimate of how well the received sequence corresponds with any of the allowed code sequences. The code sequences which most closely matches the received sequence is then decoded to form the output of the decoder. A central problem in implementing systems using TCM with Viterbi decoding is that although the encoder is a relatively simple device, the decoder is not. The complexity of the Viterbi decoder for any given TCM scheme will be the major drawback in implementing the scheme. As such techniques for reducing the complexity of Viterbi decoders are of interest to developers of communication systems. The algorithms describing the implementation and operation of the Viterbi algorithm can be categorised into three main layers. The top layer holds the theoretical algorithm itself, in the second layer are the set of algorithms that describe the broad techniques used to manipulate the theoretical algorithm into a form in which it can be implemented, and the third layer of algorithms describe the implementations themselves. The work contained in this thesis concentrates on the second two layers of algorithms

    A study of digital holographic filters generation. Phase 2: Digital data communication system, volume 1

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    An empirical study of the performance of the Viterbi decoders in bursty channels was carried out and an improved algebraic decoder for nonsystematic codes was developed. The hybrid algorithm was simulated for the (2,1), k = 7 code on a computer using 20 channels having various error statistics, ranging from pure random error to pure bursty channels. The hybrid system outperformed both the algebraic and the Viterbi decoders in every case, except the 1% random error channel where the Viterbi decoder had one bit less decoding error

    Reconfigurable architectures for beyond 3G wireless communication systems

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    Memory management in traceback Viterbi decoders

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    The new Viterbi decoder for long constraint length codes, under development for the Deep Space Network, stores path information according to an algorithm called traceback. The details of a particular implementation of this algorithm, based on three memory buffers, are described. The penalties in increased storage requirement and longer decoding delay are offset by the reduced amount of data that needs to be exchanged between processors, in a parallel architecture decoder

    A Viterbi decoder with low-power trace-back memory structure for wireless pervasive communications

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    This paper presents a new trace-back memory structure for Viterbi decoders that reduces power consumption by 63% compared to the conventional RAM based design. Instead of the intensive read and write operations as required in RAM based designs, the new memory is based on an array of registers connected with trace-back signals that decode the output bits on the fly. The structure is used together with appropriate clock and power-aware control signals. Based on a 0.35 /spl mu/m CMOS implementation the trace-back back memory consumes energy of 182 pJ
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