Optimized Design And Low Power Consumption Thought Of The Viterbi Algorithm And Equalizer In Communication

Some complicated and universal architectures are widely used in communication systems and commonly occupy more resource, then their optimized design and low power consumption method is given more attention. After briefly review and introduce the development and actuality of the low power design technology, this paper researches on optimized design and low power consumption thought about Viterbi decoding, Turbo decoding and equalizer. On the base of the former's low power optimized method, I brought forward several new optimized method and approximately estmated the complexity and power consumption. The main works are as follows:1. Put forward the united-decision estimated Viterbi decoding algorithm. Through theoretic analysis and performance simulation, I demonstrated that the algorithm can obviously improve the decoding performance. Provided upper limit formula and curve of BER performance and illustrated the effection of reference state's locality by simulation. In the condition of the same decoding performance, approximately estimated the improved algorithm's effect on complexity, size and power consumption.2. Put forward the selecting correct decision Viterbi decoding algorithm. Account for some amelioration on decoding performance through theoretic analysis and performance simulation.3. Simulation validated that combining the two improved algorithm can make more amelioration on decoding performance. Approximately estimated that the improvement correspond to the united-decision estimated algorithm.4. Put forward the climated error branch Viterbi decoding algorithm. Offered the algorithm'assume and difficulty of realization. Pointed out the research direction to gain actual improvement.5. Extent the united-decision estimated algorithm to the SOVA decoding of the Turbo code. Validated the algorithm's evident improvement by simulation andapproximately estimated its effect on complexity and power consumption. 6. Put forward the circle shifting optimized method on the transverse filter and extent to the equalizer. Simulation indicated that can greatly save hardware size and account for the tradeoff relationship between size and power consumption.