sova

Design and Optimization of Turbo Decoder Based on SOVA Algorithm

基于SOVA算法的Turbo译码器的设计与优化

System Emulation and Performance Analysis of Turbo Codes with SOVA Decoders

Turbo码SOVA译码器的系统仿真及性能分析

Make use of additional bits at the end of each frame of SOVA .

SOVA算法中采用帧尾加长处理的方法充分利用了每帧最后δ位信息。

SOVA Algorithms Under Frequency-Selective Fading Channel for OFDM Wireless System

无线OFDM系统频率选择性衰落信道下的SOVA译码算法

Study on efficient stopping criterion of decoding for SOVA

SOVA解码的有效中止判据

Design of an SOVA Sub-Decoder IP Core with Memory Optimization

一种节省存储量的SOVA子译码器IP核的设计

Realization for Turbo - code Decode Based on SOVA

基于SOVA算法的Turbo码译码实现

Two SOVA decoding algorithms in OFDM system based on BPSK modulation with fading channel were presented .

提出了两种衰落信道下基于BPSK调制OFDM系统的SOVA译码算法。

Soft output Viterbi algorithm ( SOVA ) is applied to decoding Turbo codes .

Turbo码的译码采用软输出维特比算法（SOVA）。

Iterative Receiving Based on SOVA Algorithm for Serially Concatenated CPM

串行级联CPM基于SOVA算法的迭代接收

MAP Decoding Methods Derived from SOVA

等价于MAP的SOVA译码方法

Two ways of complexity reduced decoding algorithms ( Log-MAP and SOVA ) are developed and simulated .

进一步比较和分析了两种能够减小解码算法（Log-MAP算法和SOVA）复杂度的方法并给出了他们的计算机仿真曲线。

Under the same iterative numbers , the error rate of Log-MAP is better than SOVA .

相同迭代次数下，Log-MAP算法比SOVA算法误码率性能好；

The result shows that the Log - MAP algorithm is more operational and time consumptive than that of SOVA algorithm .

结果表明：Log-MAP算法比SOVA算法运算量大、费时更多；

Extent the united-decision estimated algorithm to the SOVA decoding of the Turbo code .

把联合判决估计算法推广到Turbo码的SOVA译码中，仿真验证了有明显的改进效果，粗略估计了改进算法对复杂性、规模和功耗的优化。

The Modification of SOVA on Viterbi Algorithm

SOVA算法对Viterbi算法的修正

This article focuses on the optimization of architecture for the soft output viterbi algorithm ( SOVA ) decoder of Turbo code .

分析TurboCode的软输出维特比（SOVA）译码器的结构优化方法。

Base on SOVA algorithm , an SOVA sub-decoder IP core is designed and the function of each module is described .

在简单分析SOVA译码算法的基础上，对SOVA子译码器IP核的设计进行了整体分析；

SOVA is more practical than MAP in the algorithms for decoding Turbo codes , because of its shorter decoding delay .

SOVA算法因其译码时延低于MAP算法已成为Turbo码的实用译码算法。

The computer imitation results show that the new SOVA obviously improves BER performance compared with general SOVA , while decoding complexity would not increase obviously .

仿真结果表明，与传统SOVA算法相比这种全新的SOVA算法在不会明显增加译码计算量的前提下，显著地改善了译码性能。

This paper proposes a modification of the soft output Viterbi decoding algorithm ( SOVA ) which combines convolution code with Huffman coding .

提出了一种与Huffman码相结合的卷积码软判决译码方案。

By using the relation of neighboring data , an improved Viterbi algorithm is proposed and extended it to SOVA decoding of Turbo code in this paper .

该文利用相邻判决数据间的相互关系，提出了一种Viterbi截尾译码的改进算法，并将其应用到Turbo码的SOVA译码中。

Thirdly , encoding and decoding principles of Turbo code and main decoding algorithms are described , as well as the simulation results of MAP and SOVA algorithm .

接着，阐述了PCCC码的编译码原理和主要的迭代译码算法，并对LOG&MAP算法和SOVA算法进行了性能仿真。

The combination of Log MAP and SOVA avoids updating the matrices of the maximum path , and also makes a contribution to the requirement of short delay .

由于对数最大似然算法和SOVA算法的结合避免了对最大路径中每步度量的更新，该算法也对低时延要求有所贡献。

The equivalence of the modified SOVA and Max-Log-MAP algorithm has been proven under the condition of no a priori information and infinite decoding depth .

在先验等概和无限译码深度条件下，已证明略加修改的SOVA等效于MAXLogMAP算法。

Last , turbo equalization based on joint iterative equalization and decoding is investigated , the performance of MAP / MAP and MMSE / SOVA algorithms are compared .

最后，对联合迭代均衡和译码TURBO均衡器进行了研究，并对MAP/MAP和MMSE/SOVA联合算法进行了性能比较。

This paper summarizes the Turbo decoding algorithms , including SOVA , MAP , LOG-MAP , MAX-LOG-MAP , etc , and compares the performance of these algorithms .

对Turbo码译码算法进行了综述，包括SOVA、MAP、LOG-MAP、MAX-LOG-MAP等算法，并对这几种算法进行了比较。

Especially , we present the LCB iterative stopping algorithm , the symbol-based SOVA algorithm suitable to the TTCM system , and two joint source-channel decoding algorithms .

提出了LCB迭代停止算法、适用于TTCM系统的符号级软输出维特比算法以及两种联合信源信道译码算法，探讨了新方法在图像数据传输中的应用。

Combined with SOVA algorithm , the redundancy between the symbols after compression is utilized . Not only the symbol error rate is reduced , but also the soft information of symbols is obtained .

由SOVA算法对接收序列中的信源残留冗余进行利用，不仅减小了符号错误率，同时获得了符号值的软信息。

This paper comparatively analyses Log-MAP and SOVA algorithms by simulation based on their principle , and points out the effect of iterations number , frame size and SNR for the capability of Turbo code .

在研究MAP，Max-Log-MAP，Log-MAP和SOVA算法原理基础上，通过仿真，对Log-MAP和SOVA算法进行了比较性分析，同时指出了迭代次数、帧长和信噪比对Turbo码性能的影响。