TDRSS接收机码分多址干扰抑制方案设计

为了在跟踪与数据中继卫星系统( TDRSS)中实现码分多址( CDMA)应用,需要完成多用户检测( MUD)及码分多址干扰( MAI)抑制。采用减性多级迭代对消算法,在数字信号处理芯片中完成信号再生、延时校正、时域相减对消,可以完成至少12通道的多用户检测,并能将多址干扰抑制至最小1 dB以内。该算法可作为通用MUD算法的有效补充,并能应用于各类非最优的CDMA系统中,具有迭代级数可选、通道扩展性强、工程实现性好的优点。     

第三代移动通信系统中的多用户检测技术

多址干扰(MAI)是影响码分多址(CDMA)系统容量的主要因素。相对于传统的检测技术而言,多用户检测(MUD)技术可有效消除MAI的影响,提高系统容量。文章主要分析MUD技术在第三代移动通信系统(3G)中应用的必要性,介绍MUD技术的发展状况、基本思路和MUD接收机结构,并对其研究前景进行展望。     

一种频选衰落信道下的Turbo多用户检测算法

联合MAP多用户检测与信道解码的迭代多用户检测(MUD)技术可显著提高宽带移动CDMA系统的容量和性能.在多径时变衰落的编码信道下,提出一种迭代实现干扰抑制、符号估计、信道解码的Turbo多用户检测算法.在每次迭代中,MUD自适应地实现干扰抑制并输出符号估计的软信息,软输入软输出的信道解码器使用LOG MAP方法实现信道解码并反馈符号估计的软信息作为下一次TurboMUD迭代的先验信息.仿真结果证实了该算法在频选衰落信道下经两次迭代就能逼近单用户编码CDMA系统的接收性能.     

半盲最小二乘恒模算法研究

恒模算法(CMA)是一种广泛应用于阵列处理、均衡、多用户检测中的盲算法.最小二乘恒模算法(LSCMA)由于其全局收敛性及稳定性受到关注.本文针对CDMA系统下行链路,基站知道小区内用户码字而小区外干扰用户码字未知的情形,提出一种适用的半盲LSCM多用户检测(MuD)算法.它将非盲多用户检测(本文中选用解相关MUD)与盲多用户检测技术(本文中选用LSCM检测器)相结合,首先根据小区内已知用户的信息,利用解相关MUD抵消小区内其它用户的干扰,接着利用LSCM算法抵消剩余的干扰.文中将SB-LSCM算法与已经提出的半盲解相关算法、LSCM算法和解相关算法进行了复杂度、SIR和BER性能的比较,并对SB-LSCM算法的SIR性能进行了理论分析.仿真结果表明SB-LSCM算法能够获得与半盲解相关相当的SIR的性能,但是其复杂度更低且在系统负荷大时能够获得优于半盲解相关算法的BER性能.另外,SB-SLCM算法能够获得较LSCM算法更快的收敛速度以及更加优良的性能.     

基于压缩感知的免授权NOMA多用户检测算法综述

利用压缩感知(Compressed Sensing,CS)重构方法处理免授权非正交多址访问(Non-Orthogonal Multiple Access,NOMA)系统中多用户检测(Multi-User Detection,MUD)问题已成为热潮。文章首先介绍了CS重构算法及其优劣性,然后详细介绍了基于CS理论提出的多用户检测算法,最后探讨了基于CS免授权NOMA上行传输的MUD算法未来的研究重点,为多用户检测算法的改进和应用提供了理论依据。     

基于子空间盲多用户检测算法的设计和仿真

随着数字移动通信技术的飞速发展,以码分多址(CDMA)为核心的第三代移动通信(3G)技术已经走入人们的日常生活。CDMA系统具有容量大、软容量、抗多径衰落强等优点,但多址干扰(MAI)的存在却严重的影响了系统的性能和容量,因此如何消除和抑制这种干扰就成了CDMA技术研究的热门话题之一,第三代移动通信系统已经将多用户检测技术(MUD)作为克服多址干扰的有效方法之一。文中主要研究了直接序列扩频码分多址(DS-CDMA)系统中的盲多用户检测算法,深入的研究了基于卡尔曼滤波的盲多用户检测算法,通过在卡尔曼滤波算法上引入子空间提高了原有卡尔曼滤波算法的效率。     

上行链路抗远近效应的半盲MUD

本文提出了一种新的用于CDMA系统上行链路,且具有较强抗远近效应性能的半盲自适应多用户检测器(MUD)。借鉴串行干扰抵消(SIC)的思想,该方法利用一种新的自适应幅度估计器进行小区内用户信号的幅度估计,然后使用一种基于快速子空间跟踪算法的盲MUD,按照幅度从大到小的顺序依次检测出小区内的用户。这样,既通过盲方法抑制了来自小区外的干扰,又充分利用小区内用户的信息,提高了检测性能,特别是对弱信号的检测性能,具有较强的抗远近效应的性能。     

基于压缩感知的免授权NOMA多用户检测算法综述

利用压缩感知(Compressed Sensing,CS)重构方法处理免授权非正交多址访问(Non-Orthogonal Multiple Access,NOMA)系统中多用户检测(Multi-User Detection,MUD)问题已成为热潮。文章首先介绍了CS重构算法及其优劣性,然后详细介绍了基于CS理论提出的多用户检测算法,最后探讨了基于CS免授权NOMA上行传输的MUD算法未来的研究重点,为多用户检测算法的改进和应用提供了理论依据。     

Turbo MUD技术在TD-SCDMA系统中的应用

TD-SCDMA已成为第3代移动通信国际标准之一,它采用联合检测技术来抑制符号间干扰(ISI)和多址干扰(MAI)。介绍了Turbo多用户检测(MUD)技术在TD-SCDMA系统中的应用,该技术将Turbo迭代译码思想引入到联合检测,有机结合多用户检测和信道译码2种技术,通过在软MUD和软信道译码间多次进行迭代并及时交换软信息(如后验概率)来提高系统性能。研究表明,采用TurboMUD可使系统性能显著提高。     

改进的基于特征子空间的SAR图像射频干扰抑制算法

射频干扰(the Radio Frequency Interference, RFI)会对有用信号产生不利影响,进而严重影响成像质量。该文提出了一种改进的基于特征子空间的合成孔径雷达(Synthetic Aperture Radar, SAR)图像射频干扰抑制算法。相比传统算法,所提算法增加了专门用于射频干扰检测的预处理模块。在预处理阶段,分别在频域和时域对干扰所在的数据区域进行检测。在后处理阶段,只对检测到干扰的数据区域进行基于特征子空间的干扰抑制。相比传统算法,所提算法在保持图像细部结构方面效果更好,且避免了时域逐脉冲干扰抑制带来的巨大运算量,运算效率大幅提高。      

一种复杂星座信号的盲均衡新方法

基于高阶统计量(HOS)盲均衡算法虽可适用于单人单出(SISO)系统,但HOS算法均依赖大数据量而无法满足高速信号传输的时变要求,该类算法对于高阶正交幅度调制(QAM)信号系统的盲均衡能力偏弱.该文在较小数据量的前提下,提出一种适用于SISO系统的高阶QAM信号盲均衡的新算法.算法运用支持向量回归框架,根据有序风险最小...     

Efficient multi-hop scheduling algorithms for packet transmissions in WDM optical star networks

This paper proposes multi-hop scheduling algorithms for the All-to-All Broadcast (AAB) problem in Wavelength Division Multiplexed (WDM) optical star networks. The multi-hop AAB problem can be split into two subproblems: Logical Topologies Construction (LTC) problem, and Transmission Scheduling (TS) problem. For improving the efficiency of multi-hop scheduling, we focus on a new multi-hop transmission model and transfer the LTC problem to a special case of the Round Robin Tournament (RRT) problem. In the proposed logical topologies, our multi-hop scheduling algorithms can easily overlap the tuning latency and reduce the number of tuning operations on each node. We compare our results with previous research in terms of schedule length. Overall results indicate that our multi-hop scheduling algorithms have better performance than previous algorithms.     

VoIP回声消除器设计及算法研究

本文提出了一种与线性预测编解码器相结合的新声学回声消除器,由去相关可变步长的NLMS自适应算法和基于回声路径失配方差的双端通话检测算法所组成.Matlab仿真结果表明,与Gordy所提出的回声消除算法相比,本文提出的算法在双端通话和回声路径改变时判别更准确,收敛速度更快;在收敛状态时,ERLE值平均提高了15dB,失调误差平均降低了10dB,具备更好的回声消除性能.     

An optimized forwarding protocol for lifetime extension of wireless sensor networks

Optimized routing (from source to sink) in wireless sensor networks (WSN) constitutes one of the key design issues in prolonging the lifetime of battery‐limited sensor nodes. In this paper, we explore this optimization problem by considering different cost functions such as distance, remaining battery power, and link usage in selecting the next hop node among multiple candidates. Optimized selection is carried out through fuzzy inference system (FIS). Two differing algorithms are presented, namely optimized forwarding by fuzzy inference systems (OFFIS), and two‐layer OFFIS (2L‐OFFIS), that have been developed for flat and hierarchical networks, respectively. The proposed algorithms are compared with popular routing protocols that are considered as the closest counterparts such as minimum transmit energy (MTE) and low energy adaptive clustering hierarchy (LEACH). Simulation results demonstrate the superiority of the proposed algorithms in extending the WSN lifetime. Copyright © 2008 John Wiley & Sons, Ltd.     

MPEG-2音频解码算法优化

以PC机为硬件平台对MPEG-2的音频解码算法进行优化，实现MPEG-2全软件的系统、视频、音频3个部分实时解码。在IDCT和IMDCT中应用了新的快速算法；结合PC机本身的特点及解码过程中有大量的乘加运算采用SIMD(single—instruction multiple—data)来对程序优化，并在实际运算中也对数据结构进行了优化。通过以上的优化使MPEG-2层Ⅱ解码的运算量减少了40％以上，在奔腾3／450计算机上只占用不到5％的系统资源。这些优化算法已经应用于奔腾3／800为硬件平台的MPEG-2实时解码器中。     

New LSCM blind multiuser detection algorithm for antenna array CDMA system

Two blind multiuser detection algorithms for antenna array in Code Division Multiple Access （CDMA） system which apply the linearly constrained condition to the Least Squares Constant Modulus Algorithln （LSCMA） are proposed in this paper. One is the Linearly Constrained LSCMA （LC-LSCMA）, the other is the Preprocessing LC-LSCMA （PLC-LSCMA）. The two algorithms are compared with the conventional LSCMA. The results show that the two algorithms proposed in this paper are superior to the conventional LSCMA and the best one is PLC-LSCMA.     

非线性盲源分离的原理及算法综述

本文主要阐述了非线性盲源分离(BSS)/独立成分分析(ICA)模型的基本数学原理、分离算法、算法性能及其应用。首先对线性和非线性BSS/ICA的数学模型作了介绍,重点介绍了非线性BSS/ICA解的不确定性,然后在此基础上对近十年来出现的各种非线性BSS/ICA算法进行简单综述,着重分析了一类可解且应用比较广泛的非线性BSS/ICA模型-后非线性BSS/ICA模型及其分离算法。最后对非线性BSS/ICA存在的问题和发展趋势进行了总结。     

An efficient UE cluster head selection algorithm in wireless sensor networks and cellular networks

Wireless Sensor Networks (WSNs) have been applied in many different areas. Energy efficient algorithms and protocols have become one of the most challenging issues for WSN. Many researchers focused on developing energy efficient clustering algorithms for WSN, but less research has been concerned in the mobile User Equipment (UE) acting as a Cluster Head (CH) for data transmission between cellular networks and WSNs. In this paper, we propose a cellular-assisted UE CH selection algorithm for the WSN, which considers several parameters to choose the optimal UE gateway CH. We analyze the energy cost of data transmission from a sensor node to the next node or gateway and calculate the whole system energy cost for a WSN. Simulation results show that better system performance, in terms of system energy cost and WSNs life time, can be achieved by using interactive optimization with cellular networks.     

Wavelet transform based novel edge detection algorithms for wideband spectrum sensing in CRNs

The primary task in cognitive radio is to dynamically explore the radio spectrum and reliably detect the co-existing licensed primary transmissions across a wide-band spectrum. This paper focuses on wavelet transform (WT) based wide-band sensing techniques, which identify the edges of the multiple frequency bands simultaneously. Novel edge detection algorithms are proposed based on continuous WT (CWT) and discrete WT (DWT) techniques, applied on wide-band power spectrum. In CWT based spectrum sensing, logarithmic scaling preceded by a thresholding is performed on the CWT coefficients to enhance the small modulus maxima values at the edges, resulting in better detection probability. Since the logarithmic scaling magnifies the spurious edges, the proposed algorithm increases the false alarm probability at high noise variance. To alleviate this problem, DWT based algorithms are proposed, where DWT performs simultaneous denoising and edge detection. To achieve good detection performance at poor SNR scenario, a moving average filtering strategy is adopted at different levels of DWT based algorithms and better performance is achieved even with lower scale value of DWT, thereby reducing the computation time. Comparative studies show that the proposed algorithms outperform the existing WT based edge detection algorithms in the dynamic and frequency selective channels as well.     

对折置乱算法及置乱度分析

论文通过对准逆序置乱算法的研究,提出了一种新颖的置乱处理算法—对折置乱算法。针对一维序列置乱算法分别按行列对图像置乱所固有的弊端进行了改进,获得了良好的置乱效果,并具有保密功能。同时提出了一个置乱度评估指标,该指标实现了严格意义上的归一化,计算简单而有效。