An Adaptive Joint Source/Channel Coding Using Error Correcting Arithmetic Codes

An approximately optimal adaptive arithmetic coding (AC) system using a forbidden symbol (FS) over noisy channels was proposed which allows one to jointly and adaptively design the source decoding and channel correcting in a single process, with superior performance compared with traditional separated techniques. The concept of adaptiveness is applied not only to the source model but also to the amount of coding redundancy. In addition, an improved branch metric computing algorithm and a faster sequential searching algorithm compared with the system proposed by Grangetto were proposed. The proposed system is tested in the case of image transmission over the AWGN channel, and compared with traditional separated system in terms of packet error rate and complexity. Both hard and soft decoding were taken into account.     

Joint Distortion Model for Progressive Image Transmission Using Error Correcting Arithmetic Codes

A novel joint source channel distortion model was proposed, which can essentially estimate the average distortion in progressive image transmission. To improve the precision of the model, the redundancy generated by a forbidden symbol in the arithmetic codes is used to distinguish the quantization distortion and the channel distortion, all the coefficients from the first error one to the end of the sequence are set to be a value within the variance range of the coefficients instead of zero, then the error propagation coming from the entropy coding can be essentially estimated, which is disregarded in the most conventional joint source channel coding (JSCC) systems. The precision of the model in terms of average peak-signal-to-noise has been improved about 0.5 dB compared to classical works. An efficient unequal error protection system based on the model is developed, and can be used in the wireless communication systems.     

Joint distortion model for progressive image transmission using error correcting arithmetic codes

A novel joint source channel distortion model was proposed, which can essentially estimate the average distortion in progressive image transmission. To improve the precision of the model, the redundancy generated by a forbidden symbol in the arithmetic codes is used to distinguish the quantization distortion and the channel distortion, all the coefficients from the first error one to the end of the sequence are set to be a value within the variance range of the coefficients instead of zero, then the error propagation coming from the entropy coding can be essentially estimated, which is disregarded in the most conventional joint source channel coding （JSCC） systems. The precision of the model in terms of average peak-signal-to-noise has been improved about 0.5 dB compared to classical works. An efficient unequal error protection system based on the model is developed, and can be used in the wireless communication systems.     

An Iterative Power Allocation Algorithm for Group-wise Space-Time Block Coding Systems

An iterative transmit power allocation (PA) algorithm was proposed for group-wise space-time block coding (G-STBC) systems with group-wise successive interference cancellation (GSIC) receivers. Group-wise interference suppression (GIS) filters are employed to separate each group's transmit signals from other interferences and noise. While the total power on all transmit symbols is constrained, all transmit PA coefficients are updated jointly according to the channel information at each iteration. Through PA, each detection symbol has the same post-detection signal to interference-and-noise ratio (SINR). The simulation results verify that the proposed PA algorithm converges at the equilibrium quickly after few iterations, and it achieves much lower bit error rates than the previous single symbol SIC PA and the fixed ratio PA algorithms for G-STBC systems with GSIC receivers .     

不等保护喷泉码用于应答器报文编码的可行性研究

提出将具有不等差错保护特性数字喷泉码作为欧标高速铁路应答器报文编码方案.由于其不依赖重传、译码过程与编码符号到达译码端次序无关等特性非常适于应答器报文传输场景.针对欧标应答器报文长度特征,本文在不同码长条件下对基于权重的不等差错保护算法、拓展窗口喷泉码及复制窗口不等保护算法的性能进行对比分析,通过Matlab仿真得到3种算法在不同码长条件下的性能.验证采用基于喷泉码的不等差错保护方法作为铁路应答器长报文编码方案的可行性.     

PIC-MF-based Iterative Receiver for Multiuser Space Frequency Block Coding Systems

A novel low-complexity iterative receiver for multiuser space frequency block coding (SFBC) system was proposed in this paper. Unlike the conventional linear minimum mean square error (MMSE) detector, which requires matrix inversion at each iteration, the soft-in soft-out (SISO) detector is simply a parallel interference cancellation (PIC)-matched filter (MF) operation. The probability density function (PDF) of PIC-MF detector output is approximated as Gaussian, whose variance is calculated with a priori information fed back from the channel decoder. With this approximation, the log likelihood ratios (LLRs) of transmitted bits are under-estimated. Then the LLRs are multiplied by a constant factor to achieve a performance gain. The constant factor is optimized according to extrinsic information transfer (EXIT) chart of the SISO detector. Simulation results show that the proposed iterative receiver can significantly improve the system performance and converge to the matched filter bound (MFB) with low computational complexity at high signal-to-noise ratios (SNRs).     

基于Simulink的Turbo码系统仿真

在Turbo码编码、译码基本理论和结构的基础上,提出了一种用Simulink构建的Turbo码编、译码可控仿真模型,并在BPSK(binary phase-shift keying)调制的高斯白噪声信道(AWGN)中进行了系统建模和仿真实验.通过研究Turbo编码、卷积编码和无信道编码方案仿真系统的BER(bit error rate)性能,结果表明,所提出的Turbo编码的误码率优于其他2种方案1个数量级以上,尤低信噪比时更具优势.     

Simple closed-loop method to compensate interference asymmetry in time-division duplex MIMO-OFDM systems

In wireless communications systems with time-division duplex (TDD) deployment, channel reciprocity and symmetric interference between transmitter and receiver sides are two widely-adopted assumptions for the design of optimal adaptation transmission mode. However, in practice, there is an undesirable but non-negligible effect, namely the asymmetric interference, that makes the assumptions no longer valid. In this paper, a simple closed-loop feedback method of compensating interference asymmetry in TDD multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system is proposed. The system makes the estimated interference at transmit-side be able to track the instantaneous receive-side interference dynamically. The proposed method maintains constant frame error rate (FER) by adopting adaptive modulation coding (AMC) and power loading. The final simulations have verified the effectiveness of the new method.     

Improved List Sphere Decoder for Multiple Antenna Systems

An improved list sphere decoder （ILSD） is proposed based on the conventional list sphere decoder （LSD） and the reduced- complexity maximum likelihood sphere-decoding algorithm. Unlike the conventional LSD with fixed initial radius, the ILSD adopts an adaptive radius to accelerate the list cdnstruction. Characterized by low-complexity and radius-insensitivity, the proposed algorithm makes iterative joint detection and decoding more realizable in multiple-antenna systems. Simulation results show that computational savings of ILSD over LSD are more apparent with more transmit antennas or larger constellations, and with no performance degradation. Because the complexity of the ILSD algorithm almost keeps invariant with the increasing of initial radius, the BER performance can be improved by selecting a sufficiently large radius.     

An Improved Group Space-Time Block Code Through Constellation Rotation

A new improved group space-time block code （G-STBC） based on constellation rotation for four transmit antennas was proposed. In comparison with the traditional G-STBC coding scheme, the proposed space-time code has longer code length and adopts proper rotation-based symbols, which can increase the minimum distance of space-time codes and thereby improve code gain and achieve full diversity performance. The simulation results verify that the proposed group space-time code can achieve better bit error performance than both the traditional group space-time code and other quasi-orthogonal space-time codes. Compared with Ma＇s full diversity full rate （FDFR） codes, the proposed space-time code also can achieve the same excellent error performance. Furthermore, the design of the new space-time code gives another new and simple method to construct space-time codes with full diversity and high rate in case that it is not easy to design the traditional FDFR space-time codes.     

基于优化方法的自适应跳频地址编码方法

为提高跳扩频通信系统抗干扰性能，提出了在多载 直接序列跳扩频（ＭＣ－ＤＳ／ＦＨＣＤ－ＭＡ）通信系统中实现自适应跳频（ＡＦＨ）方式时，基于优化的自适应跳频地址编码方法。在给定信道仿真参数的前提下，对自适应跳频系统的误码性能进行了分析，结果表明自适应方式优于传统方式。     

基于Simulink的LDPC码仿真研究

在传统LDPC的构造方法基础上,提出了一种具有满秩特点的校验矩阵构造算法,在AWGN信道下结合Simulink进行了系统级仿真。结果表明,新的校验矩阵构造出的LDPC码系统性能优于Galager构造的LDPC码系统性能,LDPC码的短码误码性能劣于长码,LDPC码的码率越高性能越低,LDPC译码增加迭代次数后性能提升。     

Switching between antenna subset selection and quasi-orthogonal space-time block code in presence of correlation

We address the problem of adaptive modulation and coding scheme (AMCS) for a multi-input multioutput (MIMO) system in presence of time-varying transmitting correlation. Antenna subset selection and quasiorthogonal space-time block code (QOSTBC) have different error performances with different signal-to-noise ratios (SNRs) and in different spatial correlation scenarios. The error performance can be improved by selecting an appropriate transmission scheme to adapt to various channel conditions. The maximum distance criterion is the simplest and very effective algorithm for the antenna subset selection without needs of complex calculation and channel state information at transmitter (CSIT). The minimum error performance criteria and the simplified linear decision strategy are developed for constant transmission rate traffic to select the optimal transmission scheme. It can dramatically decrease algorithm complexity for obtaining error probability according to the known quantities comparing with using instant CSIT. Simulation results show that, remarkable performances including low SNR and weak spatial correlation at the expense of simple calculation and almost no bandwidth loss by adopting AMCS can be achieved. The proposed AMCS improves robustness of slowly varying spatial correlated channels.     

提升高精度图像弱目标视觉质量的高效压缩算法

为了实现对高精度图像进行高效压缩,同时确保重建图像的弱目标区域有较好的保真效果,提出了一种提升弱目标区域质量的基于误差优化编码的高精度图像压缩算法. 首先,使用JPEG-LS （joint photographic experts group lossless）压缩算法对图像数据进行压缩,在游程编码过程中自适应地选择需要二次编码的误差数据,并完成了基于视觉质量的非均匀量化;其次,对量化值进行数据分解,去除量化值之间的相关性,并对分解后的数据进行MQ算术编码的熵编码;图像重建时根据量化间隔重建反量化值,并设计了反量化优化和滤波优化过程;最后,将本文算法与JPEG-LS、JPEG2000 （joint photographic experts group 2000）算法进行了性能比较,结果表明:本算法能够实现高精度图像数据的高效压缩,且复杂度低,易于硬件实现,虽然引入了误差数据二次优化编码等过程,但增加编码的数据量较小,故与JPEG-LS算法的压缩速度相当,然而比JPEG2000算法的压缩速度提升4.47倍;同时有效减少了常规算法造成的信息损失,重建图像的峰值信噪比与JPEG-LS、JPEG2000相当或略低,但弱目标区域的视觉质量及保真效果更好.      

基于NURBS的船体曲面自适应三角网格剖分

针对面向曲面的三维船体性能计算和真实感图形显示问题,应用NURBS曲线、曲面理论,提出一种新颖的船体NURBS曲面三角形网格自动生成算法,运用四角编码方法和改进的曲面片平坦性检验方法,保证在递归分割船体NURBS曲面时,能够快速有效地分割出四边形网格,在曲面片的高度方向和边界处同时满足给定的精度要求,在此基础上,应用割角剖分算法将一个四边形网格剖分成两个或多个三角形网格。应用结果表明,应用该算法生成的三角形平面片能够较好地逼近船体曲面,避免出现网格间的裂缝,与二叉树、四叉树方法相比,四角编码方法明显节省了时间和空间,提高了算法效率。     

无链表图像感兴趣区域编码算法

针对基于链表实现的感兴趣区域编码算法占用存储资源较多的问题,提出了一种无链表的编码算法.在SPIHT(等级树集合分裂)编码过程中,采用标志位图表示系数和集合的重要件信息;优先编码感兴趣区域,利用队列缓存非感兴趣区域系数和集合信息;编码非感兴趣区域时,从队列中恢复编码所需的重要件信息.编码过程不需要提升感兴趣区域小波系数,能实现感兴趣区域重建质量的精确控制.仿真实验表明,该算法优于提升小波系数的感兴趣区域编码算法;当编码码率为1 bpp(比特/像素)时,其存储需求仅为链表实现的感兴趣区域分离编码算法的1/10.     

一个高质量的数字音频压缩算法

提出一个具有实时性能的改进型ＲＣＴ算法,并将改进型ＤＣＴ与混合滤波器组相结合,给出了一个高质量音频压缩算法,该算法增加了滤波变换块长度的自适应特性并更接近于人耳的滤波特性。     

基于光正交码的不规则LDPC码

基于光正交码构造了一类新的不规则OOC LDPC码.新的LDPC码是准循环码,其编码复杂度与码长成线性关系,具有编码复杂度低的特点,它所对应的双向图中没有四线循环.用和积译码算法对新的码字进行了仿真,结果表明,与具有类似参数的随机码和规则OOC LDPC码相比,当信道误码率为10-5时,译码增益分别为0.3和0.15dB.     

基于联合迭代译码的LDPC编码协作系统

为提高系统性能,提出了分别采用正规LDPC(low-density parity-check code)和非正规系统LDPC码的编码协作通信系统,并给出了用于源节点和中继点的双LDPC码的构造方法.导出了基于双LDPC码的总体校验矩阵,据此校验矩阵给出了相应的双层结构Tanner图,目的点采用基于该双层结构Tanner图的联合迭代译码新算法译码.理论分析和数值模拟表明,在相同条件下,理想LDPC编码协作系统的性能明显优于编码非协作系统的性能,当误比特率为10-5、译码迭代10次时,理想正规LDPC码和非正规系统LDPC码编码协作系统较相应的编码非协作系统分别具有1.0和0.6 dB增益.     

一种无线多跳网络业务性能跨层优化方法

为满足无线Mesh网络和Ad Hoc网络业务不同性能的要求,提出了一种跨层优化算法,给出了保证业务平均误包率的自适应调制编码的实现方法,并结合信道、冲突、缓冲区和业务要求等分析了业务性能.在此基础上,提出了调节误包率、优化业务吞吐率,并通过加权以满足业务不同吞吐率和延迟要求的优化算法,优化综合了物理层、MAC层、链路层和业务要求的影响.为验证算法的正确性,进行了仿真分析.结果表明,在给定的参数下,与未优化相比,丢包率约减小35.3%,延迟约降低65.6%.