sova 中文意思是什麼
sova
解釋
軟輸出維特比-
An improved sova - based decoding scheme for turbo - stcm
的并行級聯空時格碼的譯碼演算法 -
System emulation and performance analysis of turbo codes with sova decoders
譯碼器的系統模擬及性能分析 -
Two sova decoding algorithms in ofdm system based on bpsk modulation with fading channel were presented. one is called bce _ sova, which is based on adaptive blind channel recognization. it can adaptively estimate the channel state information ( csi )
其中一種是基於自適應盲通道識別演算法的sova譯碼演算法（簡稱bce _ sova ） ，該演算法可以自適應地估計通道狀態信息（ channelstateinformation ， csi ） ，由於不用訓練，傳輸時延小，但計算復雜度高。 -
Causes small transmission delay, but computation is complex. the other is called dsova, which does not need to know csi, with low - computation complexity and small transmission delay, and is more suitable in the case when side information is unknown. these two algorithms effectively combine the ofdm technology and the sova algorithm in rayleigh channel, resulting in an efficient sova decoding under frequency - selective channel
另一種是不含通道估計的差分sova演算法（簡稱dsova ） ，該演算法不必知道csi ，計算復雜度低，傳輸時延小，適用於邊沿信息（ sideinformation ， si ）未知的情況，這兩種演算法將ofdm技術和rayleigh通道下的sova譯碼演算法有機的結合起來，很好地實現了頻率選擇通道下的sova譯碼。 -
We put the emphases on the soft output viterbi algorithm ( sova ), which is one of turbo code ’ s decoding algorithms, and presents the derivation and computation step of the sova decoding algorithm. after presenting sova and map decoding algorithms and analyzing four kinds of decoding algorithms, the paper makes a comparison among the different decoding algorithms by emulation analysis, and analyzes the time complexity of various algorithms, and then contrasts them. in the last part of this paper, according to the criterion recommended by the consultative committee for space data systems ( ccsds ), including code rate,
根據空間數據系統顧問委員會（ ccsds ）為turbo碼應用於深空通信系統推薦的標準，包括碼率、碼塊大小、分量碼類型、約束長度、碼生成多項式，以及交織器的選擇等參數的建議以及sova譯碼演算法的理論基礎，設計了sova演算法的實現結構，通過模擬驗證了本文所採用的turbo碼的性能，從而證明turbo碼確實是一種很好的通道糾錯編碼方式，它適用於要求功耗低或信噪比低的深空通信系統中。 -
Two ways of complexity reduced decoding algorithms ( log - map and sova ) are developed and simulated
進一步比較和分析了兩種能夠減小解碼演算法（ log - map演算法和sova ）復雜度的方法並給出了他們的計算機模擬曲線。 -
Firstly, we analyze the advantages and disadvantages of the random and nonrandom interleaver respectively, and bring forward the method of constructing a semi - random interleaver. then we deal with the decoding of turbo - codes, and compare the performance of several usual decoding methods. in addition, we give the performances of log - map and sova are simulated
分析了隨機和非隨機交織各自的優缺點，並提出了半隨機交織的構造方法；然後，比較了常用的幾種譯碼方法，並且實現了log - map演算法和sova演算法的性能模擬，對不同譯碼演算法下turbo碼的性能進行了分析比較。 -
There are two sorts of decoding methods : map algorithm and sova algorithm and the thesis emphasizes the former
Turbo碼的譯碼演算法主要有map演算法和sova演算法兩大類，本文重點研究了前者。 -
In addition, for improving system ' s performance, the paper also research on the soft - output viterbi algorithm, especially on m - ary sova. also combining with m - ary sova and our near mlse algorithm, we introduce a soft - output near mlse equalization algorithm
為了進一步提高演算法的性能，本文還研究了軟輸出的viterbi演算法，特別是多進制下的sova演算法，並將它和本文的均衡演算法結合，提出了一種軟輸出的準mlse均衡演算法。
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