一种多参数优化的联合信源信道编码方法*

针对JPEG2000码流的渐进传输特性,提出了一种多参数优化的联合信源信道编码方法,即MPO-JSCC。在码率分配的基础上,动态地选择Turbo码交织长度、迭代译码次数,通过优化编码器多个参数更好地执行不等差错保护策略,同时加入JPEG2000容错工具,在接收端利用错误掩藏机制以提高图像解码成功率。将该方法应用于噪声信道的图像传输系统中,仿真结果表明,MPO-JSCC既能在不增加系统复杂度及延迟时间的同时提高重建图像的质量,又能节省系统发射功率,具有一定的现实指导意义。     

频率选择性衰落信道中的发射分集设计

为了获得多天线分集以对抗衰落,提出了一种适用于频率选择性衰落信道的发射分集方案．该方案利用零相关窗互补码的理想相关特性分离多径,最终同时得到全部的空间分集增益和频率分集增益．仿真结果表明,与频率选择性衰落信道下的空时编码方案相比,该方案发射接收装置的结构更简单,设计更灵活．     

交织和BCH编码对蓝牙2.0数据传输性能的改善

蓝牙2.0+EDR规范新增DH分组没有有效的纠错机制,其抗干扰能力差。通过在新规范中加入BCH编码和交织编码,以改善蓝牙的数据传输吞吐量及抗干扰能力。对于新增的数据分组,根据蓝牙标准协议,推导了相应的分组特性;建立了GE信道下数据传输速率与信道突发错误水平的关系模型;获得了在不同信道突发错误水平下的数据传输吞吐量。结果表明,在蓝牙2.0+EDR新规范中加入BCH编码和交织编码,在较高突发错误水平的信道中,其数据传输吞吐量提高了一倍以上,明显改善了数据传输的抗干扰能力。     

多维奇偶校验乘积码性能分析

相对于Turbo码,乘积码在高码率情况下具有性能优势,且无错误平层,其应用广泛。以奇偶校验码为分量码的乘积码译码算法简单,可适应不同的数据大小要求。通过分析多维奇偶校验乘积码的码多样性,得出高信噪比下该码的性能公式;计算机仿真表明:该性能公式结果与最大似然译码算法及迭代译码算法性能相符。通过分析码率、维数、分量码码长等参数对码性能的影响,得出码率、维数相同时,码性能相近;码率相同、维数不同时,高维乘积码具有性能优势。该结果为码参数选择提供依据,可在相同的信息传输有效性下,选择性能更好的码。     

基于BCH纠错编码技术的小波域音频数字水印研究

常规的水印算法在提取水印信息时可能出现误码,文中在采用混沌映射理论提高图像水印加密的安全性基础上,提出了一种基于BCH纠错编码的数字水印算法,通过小波系数的量化法,在小波变换域内实现图像水印的嵌入、提取和水印的恢复。并利用计算仿真进行实验,结果表明,该方法能降低水印提取的误码率,有效抵抗各种常见攻击,具有良好的鲁棒性和不可见性,可靠性和实用性也很强．     

数字光接收机性能指标的优化设计

首次提出一种新型数字光接收机模型,改进了其中均衡器的设计;以S.D.Personick理论为基础,推导并计算了此光接收机基于"最坏情况"下判决时刻的噪声平均功率。研究结果表明,此模型在输入脉冲展宽较为严重的情况下表现出了良好的噪声性能;进而提高了数字光接收机的灵敏度,优化了数字光纤传输系统的误码性能;为改善数字光接收机性能指标提出了新的途径。     

准正交空时分组码的自适应设计

为了能在满足空时分组码完全分集的同时尽可能降低译码复杂度,提出了准正交空时分组码的自适应设计方案. 在准正交空时分组码的编码结构上添加自适应系数,根据当前信道状态信息计算自适应系数的具体数值. 设计的目的是保证传输的数据符号之间相互正交,彼此没有干扰,从而实现完全分集,并能采用复杂度低的单符号译码方法. 仿真结果表明,准正交空时分组码自适应方案的误码率性能要明显好于采用星座旋转的准正交空时分组码方案,只需要采用有限反馈的方法就能实现近似理想反馈的误码率性能.      

The design and analysis of unequal error protection fountain coding for multiple source networks over binary erasure channels

A novel network model of multiple source fountain coding is developed and a novel class of generic multiple source fountain codes with unequal error protection(UEP)property is proposed.The And–Or tree analysis technique is generalized to analyze the asymptotic performance of the proposed codes and a joint optimization method employing both linear and nonlinear programs is developed to optimize the degree distributions.Furthermore,we propose three basic methods to achieve UEP property and the performance of each method is discussed.We employ these analytical results and optimization method to design and discuss several UEP codes with two and four sources for different application scenarios.Simulation results verify that the proposed codes can be applied to the networks with any number of sources and can provide strong UEP property in various ways based on the proposed three basic methods.     

Successive cancellation multibit-flipping decoding algorithm for polar codes

The investigation of the probability of error bits in a codeword shows that single-bit errors and 2-bit errors are main reasons that influence the decoding performance of polar codes with a short or moderate blocklength. Based on the statistical analysis of the error bits, a successive cancellation(SC) multibit-flipping decoding algorithm is proposed. Compared with the SC single-bit-flipping decoding, the proposed scheme can obtain better performance gains for polar codes with a short blocklength. Compared with the SC list decoding by exploring multiple paths simultaneously, the proposed scheme has a lower space complexity. Moreover, the decoding complexity of the proposed decoding algorithm decreases as the signal to noise ratio(SNR) increases. Simulation shows that for polar codes with a short or moderate blocklength, the performance of the proposed decoder can approach that of the SC list decoding with lower decoding complexity in high SNR regions.