MC-CDMA系统中一种盲多用户检测算法

本文提出了MC-CDMA系统中一种预处理的盲多用户检测算法P-LSCMA,它是对MC-CDMA接收信号 进行预处理,消除部分多址干扰,然后再用LSCMA算法消除由于信道在各个子载波上对信号造成的影响,从而在每次 迭代合并中提高了系统的检测性能。     

V-BLAST系统中选择性最大比合并算法

通过选择性最大比合并(SC/MRC)算法,在并行干扰抵消(PIC)技术的基础上,对V-BLAST系统各接收天线的干扰抵消结果按照SC/MRC合并,实现了分集接收.该算法最多可以实现与接收天线数等同的分集增益,而通过选择信道条件较好的几个接收天线进行合并,可以在性能与复杂度之间取得折衷.MRC合并只需与选择合并的天线数线...     

MIMO-OFDM快时变信道下的一种低复杂度的检测算法

OFDM系统中信道的快速变化会破坏载波间的正交性,产生载波间干扰(ICI)。该文基于快变信道的统计特性,分析了载波间干扰的频域表达式,设计了一种针对快时变OFDM系统载波间干扰的载波间干扰对消检测方案。它可以有效地补偿由于信道快速变化所产生的载波间干扰,从而提高系统性能。实验表明,该文提出的检测方案可以在计算复杂度很小的情况下,有效地抑制由于载波间干扰所产生的误码率性能的下降,并利用载波间分集提高系统性能。     

OFDM系统中基于软干扰抵消的Turbo均衡算法研究

针对OFDM系统中子载波间干扰带来的性能恶化问题,在最优Turbo均衡的基础上,提出了基于软干扰对消技术的MAP均衡算法。Turbo均衡部分首先利用先验信息进行干扰抵消,然后通过干扰抵消输出结果计算编码比特后验概率;同时对信道矩阵进行带状近似,提出简化算法,运算复杂度进一步降低。通过仿真分析表明,相比于传统turbo均衡算法,该算法在工程应用中更具有可行性。     

一种OFDMA实时子载波分配算法及仿真

正交频分多址(OFDMA)是以OFDM调制为基础的新一代无线接入技术,在这种方式中,多址是通过给每个用户分配可用子载波总数的一部分来实现的。介绍了一种OFDMA下行链路的实时动态子载波分配算法,算法根据各个子载波对各个用户的瞬时信道增益,在使系统总的发送功率最小的准则下,为各用户分配最优的子载波组。最后用MATLAB语言仿真实现了该算法.仿真结果表明该算法性能要优于传统的静态子信道方案。     

一种时频双选信道下OFDM系统的低复杂度迭代干扰抵消算法

为了消除正交频分复用(OFDM)系统在时频双选信道条件下由于信道快时变带来的载波间干扰,本文提出了一种新的低复杂度迭代干扰抵消方法.为了消除载波间干扰,已经提出了不少方法,但这些方法要么因为矩阵求逆运算带来了高计算复杂度,要么以性能退化为代价换来低计算复杂度.利用并行迭代干扰抵消技术,本文算法可以明显改善系统性能,同时借助带状矩阵近似和最小二乘QR分解(LSQR)迭代计算的特点来降低计算复杂度.仿真结果表明,在高信噪比条件下,随着迭代次数的增加,本文所提出的算法可以有效的减少"地板效应",在系统性能和计算复杂度之间取得更好的折中.     

用于WCDMA上行系统的并行干扰对消算法

为了利用多用户检测和并行干扰对消克服WCOMA系统的多址干扰和远近效应,文中建立了WCDMA系统模型并由此推导了一种用于WCDMA上行系统的并行干扰对消算法,并在E-DPDCH信道验证了算法的性能。将干扰用户发射信噪比固定为14dB,当两个用户到达同一吞吐量时,采用PIC有1．5dB的信噪比增益。最后针对基于CCSS平台的仿真结果提出了几种优化方案。     

盲自适应信道缩短的改进算法

在多载波(MCM)系统中,时域均衡器常用来缩短原始信道从而抵消由于循环前缀长度不足而引起的码间干扰和子载波间干扰。本文首先分析基于信道响应序列自相关平方和最小(SAM)算法的原理,然后针对SAM算法计算复杂度高的缺点提出改进算法,并对改进前后的算法进行仿真。仿真结果表明,两种算法均能有效地缩短信道,改进后算法的计算复杂度明显降低,且系统传输比特率有所提高。     

OFDM系统载波间干扰消除算法研究

高速移动环境下中的OFDM系统存在严重的载波间干扰(ICI)。本文分析了OFDM系统载波间干扰的分布特性以及各子载波增益变化的特点,使用部分信道信息对各子载波的符号进行检测。仿真验证该算法能在较低的复杂度条件下达到接近MMSE-SD算法的性能,适合于工程应用。     

OFDM联合信道估计与均衡技术研究

OFDM系统在时变信道中会受到子载波间干扰,单独进行信道估计和信号检测的策略对于提高接收机的抗干扰能力有限,将信道估计和信号检测统一考虑则可更有效地抵抗子载波间干扰。针对此问题,基于迭代SAGE算法提出了一种新的联合信道估计与符号检测算法,为了减低算法的复杂度,引入BEM信道建模方法。仿真评估了BEM算法的归一化均方误差性能,验证了BEM建模的有效性,显示该算法的误码率优于基于BEM算法的线性均衡检测算法和基于MMSE的干扰对消算法,而且该算法只通过少数几次迭代便可达到收敛域,较好地克服了子载波间干扰的问题。     

Interference and Complexity Reduction in Multi-stage Multi-user Detection in DS-CDMA

Multi-stage parallel interference cancellation (PIC) technique gives good performance compared to successive interference cancellation (SIC) method, but biased decision statistic and complexity problems are raised due to imperfect estimation of multiple access interference (MAI) as number of stages increases. partial parallel interference cancellation (PPIC) technique is proposed to cancel the interference partially stage by stage to overcome biased problem. The complexity reduction for PIC detection is based on the convergence nature of interference cancellation which is called the difference PIC (D-PIC) detection technique. In this paper we combine (PPIC and DPIC) these two techniques and propose a multi-stage multi-user (PD-PIC) detector for performance improvement and complexity reduction compared to conventional PIC detector. The performance is degraded as the number of users increases in each technique.     

Performance and optimization of multistage partial parallel interference cancellation for wideband CDMA systems in multipath fading channels

In this paper, a closed-form bit error rate (BER) of hard-decision multistage partial parallel interference cancellation (PPIC) having perfect and imperfect channel estimation for complex spreading code-division multiple access (CDMA) over multipath Rayleigh channels was derived. The effects of receiving BER, power ratio of pilot to data channels, multiple-access interference (MAI) and multipath interference, additive white Gaussian noise, and other factors affecting channel estimation error are analyzed. The expression determining the optimal interference cancellation weight at path level for PPIC is first derived. Then, the oscillatory behavior of user-level-optimized PIC and the convergence of perfect channel estimation PIC and path-level-optimized PIC are validated. Results indicate that all factors determining the optimal weight certainly affect the BER performance of PPIC and that the lower BER limit of multistage PPIC depends on the adjustable factors, which include power ratio, observation length, and signal-to-noise ratio, and an unchangeable factor, i.e., number of users. In addition, the variance of MAI for complex spreading sequence is obtained, and the analytical expression can also be employed to predict the performance of multicode CDMA.     

Variance-Reduced Partial Parallel Interference Cancellation for MC-CDMA Uplink Systems

In this paper, we present an improved version of partial parallel interference cancellation (PPIC), called variancereduced PPIC (VRPPIC), for multicarrier code division multiple access uplink systems. The VRPPIC detector is a combination of the PPIC receiver and a new bit estimator, where a simplified realization is derived for the main PPIC operations and soft decisions from PPIC are linearly combined by the bit estimator using appropriate weighting factors (derived from the PPIC weighting factors) to reduce the conditional variance of the final signal estimate. Also, we derive an optimal weighting factor (OWF) selection algorithm for VRPPIC based on minimizing a monotonically increasing conditional variance function. The derived OWFs for all the interference cancellation stages are equal and can easily be obtained from a linear function of the number of active users. Simulation results show that VRPPIC with the proposed OWFs significantly outperforms VRPPIC (or PPIC) with randomly selected weighting factors in multipath Rayleigh fading channels.     

Multiuser detection of DS-CDMA signals using partial parallel interference cancellation in satellite communications

Multiuser detection (MUD) using parallel interference cancellation (PIC) technique provides a good complexity, latency, and performance compromise. This technique is suitable for satellite systems using either code-division multiple-access (CDMA) or a combination of time-division multiple-access (TDMA) and CDMA. We offer a new scheme that is a combination of soft and hard PIC detectors whose performance is superior to that of the other famous suboptimal detectors. In soft partial parallel interference cancellation (PPIC), in the first few stages, when the performance is still poor, the accurate knowledge of power and phase cannot be of much use. However, in the following stages, accurate power and phase estimation can improve the performance. This coincides with the time when the decisions are reliable enough to be used for parameter estimation. In our scheme, after a few stages of soft interference cancellation (IC), estimation of the parameters will start. Having these estimates, in the subsequent stages hard IC is performed. The complexity of this scheme grows linearly with the number of users. Moreover, this scheme is much faster than other receivers such as successive interference cancellation (SIC). PIC detectors are usually studied in equal-power case, i.e., a perfect power control scheme is assumed. In this paper, PIC detector in a near-far condition where user signals arrive at the receiver with different power levels is also investigated.     

低复杂度迭代干扰消除的OFDMA初始测距算法

针对现有正交频分多址(OFDMA)系统初始测距算法检测性能不佳以及复杂度过高的问题,该文提出一种低复杂度迭代干扰消除的多用户初始测距算法。该算法采用迭代并行干扰消除方法,在接收端按照最大功率准则并行检测活动测距用户的有效径,利用估计出的有效径参数信息来减小信道估计中的干扰,再通过重构和并行消除多用户测距信号。计算机仿真结果表明,与连续多用户检测(SMUD)干扰抵消算法相比,当信噪比为9 dB,且一个测距时隙内测距用户数为8时,所提算法的复杂度大约是SMUD的25%,检测性能大约提高了5%。     

快跳频多址通信多级迭代干扰消除多用户检测

提出了多级迭代干扰消除快跳频多址多用户检测算法。首先使用传统检测器检测,对只有一个最大行的用户做出正确译码,对相应时频矩阵元素进行信干噪声功率比估计,确定干扰消除迭代权值,然后,对干扰元素做加权运算,逐渐消除干扰,直到所有用户译码完成。该算法消除了迭代中权值估计带来的误差,计算量同用户数成线性关系。仿真结果表明：提出的多级迭代干扰消除算法性能优于文献中的多用户检测算法,特别是在用户数较多时性能有较明显改善。     

非正交多脉冲调制的QR分解多用户检测

针对加性高斯白噪声信道下的多用户非正交多脉冲调制系统,提出了基于QR分解的非相干判决反馈多用户检测器。该检测器通过QR分解矩阵变换,利用功率较强用户的判决信息来进行干扰抵消,可以有效消除用户间的多址干扰。而在各用户内,针对多脉冲调制技术,提出了一种线性解相关运算来进行非相干检测。同时,考虑解相关运算中矩阵求逆的复杂度比较高,进一步提出了一种软干扰抵消检测器。仿真结果表明所提的两种多用户检测算法可以有效消除非正交调制所造成的多址干扰,极大地提高功率较弱用户的性能,并且所提软干扰抵消检测器通过避免矩阵求逆降低了计算复杂度,同时检测性能没有损失。      

部分并行软干扰消除迭代多用户检测算法研究

本文提出了一种基于部分并行干扰消除(PPIC)结构的迭代多用户检测算法,并对基于PPIC的迭代多用户检测器的迭代结构进行了改进.由于PPIC多用户检测器前一级输出的信息的准确度会影响到后一级的检测,所以为了提高基于PPIC的迭代多用户检测器的性能,对PPIC每一级的输出信息结合最大后验概率(MAP)信道译码器单独进行迭代处理,这样就提高了PPIC每一级输出的信息的准确性.该迭代结构可用于其他基于PIC型的迭代多用户检测算法.     

Iterative reduced-state multiuser detection for asynchronous coded CDMA

The conventional maximum a posteriori receiver for coded code-division multiple-access (CDMA) systems has exponential computational complexity in terms of the number of users and the memory of the channel code. In this letter, we propose a low-complexity soft-input soft-output (SISO) multiuser detector based on the reduced-state a posteriori probability algorithm. Per-survivor processing and soft interference cancellation are used to remove the residual past and future interference in the branch metric computation. The complexity of the proposed receiver is related to the reduced memory of the CDMA channel and can be adjusted according to the complexity/performance tradeoff. Simulation results show that for asynchronous convolutionally coded systems, the proposed receiver can achieve the near-single-user performance for moderate to high signal-to-noise ratios.     

Selective partial PIC for wireless CDMA communications

This paper deals with a cancellation multiuser detector for CDMA communication systems. The proposed receiver, defined as selective partial parallel interference cancellation (SP‐PIC), is supposed to be used at the end of an up‐link channel characterized by multipath fading phenomena. The SP‐PIC main feature is to perform a weighted selective cancellation of the co‐channel interfering signals according to the received power level. With respect to other approaches, the proposed detector exhibits an improved bit error rate (BER) and a low computational complexity, linear with the number of users. Copyright © 2003 John Wiley & Sons, Ltd.