用于QAM系统的软判决引导的盲均衡算法

本文对基于最大后验概率密度函数（ｐ，ｄ，ｆ）的盲均衡技术作了研究，提出了一种实用的软判决引导的盲均衡算法，该算法能能够得到快速的收敛速度和小的剩余码间串扰（ＩＳＩ），并提出了使用软判引导算法的盲判决反馈均衡器（ＤＦＥ）其性能明显优于线生均衡器（ＬＥ）；最后，保证新算法可靠地收敛，给出了卷积噪声方差的近似迭代算法，模拟结果证明了提出了均衡技术对各种信道和ＱＡＭ信号的有效性。     

基于自相似业务流的Hurst加权随机早检测算法

Floyd提出的随机早丢弃（RED，random carly detection）是基于传统的泊松（Possion）模型，不适应网络流量普遍呈现自相似性的特点。基于此目的，提出了一种新的RED算法——Hurst加权随机早检测算法（HWRED，Hurst weighted random early detection）。新算法能够根据输入流量的自相似系数Hurst，调整RED算法参数。仿真结果表明，新算法提高了队列长度的稳定性，减少了丢包率、排队时延和排队抖动，提高了网络的链路利用率。     

基于进化算法的矢量量化索引值分配算法

本文提出了一个基于进化算法的矢量量化（VQ）的码磁索引值分配算法（EAIAA），该算法提出了一种有效的获得全局最优的索引值分配方法，在存在信道噪声的情况下，可以有效地提高矢量量化器的性能，实现了信道最优矢量量化器（COVQ）的设计，该算法利用进化算法的隐含并行性搜索方法和优胜劣汰的自然选择机制，可迅速寻找至全局最优解，克服了传统估化算法只能提供局部最优解的缺陷，实验结果表明该算法可获得比传统算法更高的性能增益。     

连续小波变换的一种快速算法

连续小波变换（ＣＷＴ）由于其优良的特性，在信号处理的许多领域得取了应用，但是ＣＷＴ在实现时有很大的计算量，针对此问题，本文提出了一种利用离散小波变换（ＤＷＴ）实现ＣＷＴ的快速算法，通过理论分析，本文提出了该算法所需的两个滤波器ｆ（ｎ）和ｇ（ｎ）的构造方法和整个快速算法的组织方式，并利用一个技巧对小波系数的尺度间隔进行了细化，最后对算法的计算复杂度进行了简略的定性分析。     

基于DDS和DSP的GMSK调制算法分析

提出一种基于直接数字式频率合成器（DDS）和数字信号处理（DSP）的高斯滤波最小频移键控（GMSK）调制算法，该算法具有实现简单，波形准确等特点，适用于低功耗的无线通信系统，详细介绍了GMSK调制原理，以及基于DDS和DSP的调制算法，并对该算法的性能进行了仿真和测试分析。     

基于SLM-PTS算法融合的NC-OFDM峰均比优化

基于非连续正交频分复用（non-continuous orthogonal frequency division multiplexing，NC-OFDM）模型，提出和研究了选择映射（selected mapping，SLM）算法和部分传输序列（partial transmit sequence，PTS）算法，及其SLM-PTS融合优化技术，设计了融合模型和改进流程。仿真结果与其他文献方法进行了对比，验证了SLM-PTS的融合具有优秀的峰值平均功率比（peak to average power ratio，PAPR）降低能力，但缺点是算法实现复杂度过高。因此，又进一步提出了互补型映射和限幅的联合算法（SLM-Clipping）融合解决方案，并利用深度学习方法建立PAPRnet模型。仿真结果验证了此算法对NC-OFDM系统具有PAPR良好的抑制效果，而且能够提高仿真运算效率。     

OFDM系统中ICI自消除算法的研究

OFDM系统对相位噪声极其敏感，会引入共同相位误差CPE（Common Phase Error）和载渡间干扰ICI（Intercarrier Interference），严重降低系统性能。对ICI自消除算法进行了研究，分析比较了数据取反（data—conversion）ICI自消除算法和数据共轭（data—conjugate）ICI自消除算法性能，并基于此提出了一种改进的取反相位噪声自消除算法。仿真结果表明，该算法实施起来非常简单，且可以有效的降低相位噪声的影响。     

一种改进的TOA/AOA混合定位算法

在蜂窝网络中利用电波到达时间（TOA）对移动台（MS）进行定位估计时，也可利用服务基站（BS）提供较准确电波到达角（AOA）信息，以提高定位性能。为此，本文对Chan提出的电波到达时间差（TDOA）定位算法进行了改进，提出了一种既继承原算法的优点，又增加AOA测量值以提高定位性能的TOA/AOA混合定位算法，分析和仿真结果表明，只要AOA测量值达到一定精度，该算法就能取得比单纯TOA定位法更好的性能。     

汉字的分组排序和查找算法

处理汉字的传统的排序和查找算法，其复杂性为Ｏ（ＮｌｏｇＮ）。本文结合概率论知识，提出汉字的分组排序和查找算法，给出算法描述，并证明其算法复杂性为Ｏ（Ｎ），从而优于传统的排序和查找算法，最后给出了实验结果。     

CATV网络中MPEG—2TS复用器的程序算法

本研究有线电视台（CATV）网中复用器的程序算法。首先提出程序矩阵这一概念。然后研究两种程序算法；用程序矩阵来描述的可变码率（VBR）算法和传统的固定码率（CBR）算法。尤其是VBR程序算法，能够在CATV网中对MPEG－2节目实现良好的显示，采用VBR程序算法的程序机（每一个输入流）拥有一台计数器，以便决定在现有的程序周期（一帧周期）内应发送多少个传送码流（TS）数据包，以防止出现界限干扰（Deadline Violation)，每一个输入流的实时比特率用来更新程序矩阵的参数，VBR程序算法在数字上可与CBR程序算法相比拟。模拟的结果表明，VBR程序算法与CBR算法相比较，大大减少了延迟（即界限干扰概率），带宽利用率也高。     

A new sign algorithm for interference suppression in DS-CDMA systems

A blind adaptive step-size averaging blind sign algorithm (AS-asign) for suppression of multiple access interference (MAI) in direct-sequence/code-division multiple access (DS/CDMA) systems is proposed. It combines the sign-regressor algorithm and the concept of variable step-size, uses a second least mean square algorithm for the step size of blind averaging sign-regressor algorithm. Simulations indicate that this algorithm yields improvements over similar adaptive step-size algorithm in dynamic environments.     

Genetically modified multiuser detection for code division multipleaccess systems

The problem of multiple access interference (MAI) and intersymbol interference (ISI) suppression in code division multiple access (CDMA) systems is considered. By combining the theory of multiuser detection (MUD) and evolutionary computation, a hybrid genetic engine is proposed, suitable for the detection of CDMA signals in the presence of MAI and ISI. The proposed hybrid detector structure can be extended to most multiuser detectors and used as the base detector within the structure. Using random selection, mutation and crossover operators and a unique chromosome structure, the genetic algorithm evolves the base detector to a group of more efficient detectors in terms of bit-error rate performance. First, a new packet-level genetic MUD technique, using a conventional single user detector as the base detector, is proposed for asynchronous CDMA (ACDMA) with negligible ISI. Then the signal-subspace-based minimum mean square error detector is chosen as a base detector and wrapped inside the hybrid genetic engine to evolve to a better structure nearly to eliminate both ISI and MAI. The novelty of the proposed structure is the way the deterministic closed-form solution of the base detector is mapped to a genetic engine resulting in a group of more efficient and adaptive detectors     

二维W-OCDMA系统中的多用户检测技术

抑制多用户干扰是无线光码分多址(OCDMA)通信系统中的一项关键技术。分析了多用户干扰产生的原因,提出采用光限幅器技术和多用户检测技术抑制多用户干扰。分析了采用素数码的无线OCDMA系统中光限幅器技术工作原理及采用二维地址码的无线OCDMA系统中多用户检测技术工作原理。分析结果表明：光限幅器技术仅能部分抑制多用户干扰,而多用户检测技术能够有效地消除多用户干扰,多用户检测技术是适用于无线OCDMA系统消除多用户干扰的有效技术。     

CDMA系统中自适应阵列天线结合参数估计方法抗多址干扰技术的研究

对 Ｃ Ｄ Ｍ Ａ 系统中自适应阵列天线结合参数估计方法抗多址干扰技术作了详细的研究,设计出了新的联合抗多址干扰的方法,并利用自适应系统辨识的观点对本方法进行了具体分析,理论和模拟结果充分证明了新的方法抗多址干扰的性能比以前类似的方法有较大的提高。     

Performance evaluation of a joint CDMA/NC-PRMA protocol forwireless multimedia communications

A joint code division multiple access and noncollision packet reservation multiple access (CDMA/NC-PRMA) technique is proposed and investigated as an uplink protocol for the third-generation (3G) mobile systems. Being the underlying time division multiple access (TDMA) architecture of the CDMA transmissions, NC-PRMA enables the base station (BS) to have a centralized control over the slot allocation policy. In order to reduce the multiple access interference (MAI) variation in a CDMA transmission, two different slot assignment schemes, referred to as load-balancing (LB) and power-grouping (PG) schemes, are proposed and evaluated. Simulation results show that considerable improvement can be achieved over the joint CDMA/PRMA scheme, in which the MAI variation is reduced by way of a dynamic permission probability for contending terminals. Especially when an imperfect power control mechanism is considered, the proposed PG assignment scheme achieves significant performance advantages     

Performance analysis of MC‐CDMA by employing the MMSE‐PIC scheme in wireless communications

From the past decade, the multicarrier code division multiple access (MC‐CDMA) transmission schemes have placed major role in wireless communications. It is providing a secured wireless communication to the users with guaranteed performance. In many situations, the performance of the MC‐CDMA is restricted due to the interference caused by multiple access interference (MAI), which also influences the frameworks of CDMA. To overcome this issue, we concentrated on developing the efficient technique for data transmission with interference cancellation for downlink MC‐CDMA. In the proposed method, the interference cancellation procedure is done by using the regeneration and subtraction of MAI from the signal. The simulation results are evaluated using the MC‐CDMA system with different decision functions. Results proved that the proposed system is efficient in reducing the MAI along with an improved bit error rate (BER).     

基于U-D分解滤波的高性能盲自适应多用户检测算法

提出利用U-D分解渐消记忆滤波算法估计CDMA系统多用户接收器的最优判决向量，构造出一种收敛速度快、跟踪性能好、数值稳定性好的高性能盲自适应多用户检测算法。仿真实验表明，本文提出的方法具有很强的抗多址干扰能力和较高的数值鲁棒性。     

MC–CDMA receiver design using recurrent neural networks for eliminating multiple access interference and nonlinear distortion

Multicarrier code division multiple access (MC–CDMA) is a promising wireless communication technology with high spectral efficiency and system performance. However, all multiple access techniques including MC–CDMA were most likely to have multiple access interference (MAI). So this paper mainly aims at designing a suitable receiver for MC–CDMA system to mitigate such MAI. The classical receivers like maximal ratio combining, minimum mean square error, and iterative block–decision feedback equalization fail to cancel MAI when the MC–CDMA is subjected to severe nonlinear distortions, which may occur due to saturated power amplifiers or arbitrary channel conditions. Being highly nonlinear structures, the neural network receivers such as multilayer perceptron and recurrent neural network could be better alternative for such a case. The feasibility, efficiency, and effectiveness of the proposed neural network receiver are studied thoroughly for MC–CDMA system under different nonlinear conditions.     

Adaptive step-size algorithms for blind interference suppression inDS/CDMA systems

This paper develops adaptive step-size blind LMS algorithms and adaptive forgetting factor blind RLS algorithms for code-aided suppression of multiple access interference (MAI) and narrowband interference (NBI) in DS/CDMA systems. These algorithms optimally adapt both the step size (forgetting factor) and the weight vector of the blind linear multiuser detector using the received measurements. Simulations are provided to compare the proposed algorithms with previously studied blind RLS and blind LMS algorithms. They show that the adaptive step-size blind LMS algorithm and adaptive forgetting factor blind RLS algorithm field significant improvements over the standard blind LMS algorithm and blind RLS algorithm in dynamic environments where the number of interferers are time-varying     

Blind MAI and ISI suppression for DS/CDMA systems using HOS-basedinverse filter criteria

Cumulant-based inverse filter criteria (IFC) using second-and higher order statistics (HOS) proposed by Tugnait et al. (1993) have been widely used for blind deconvolution of discrete-time multi-input multi-output (MIMO) linear time-invariant systems with non-Gaussian measurements through a multistage successive cancellation procedure, but the deconvolved signals turn out to be an unknown permutation of the driving inputs. A multistage blind equalization algorithm (MBEA) is proposed for multiple access interference (MAI) and intersymbol interference (ISI) suppression of multiuser direct sequence/code division multiple access (DS/CDMA) systems in the presence of multipath. The proposed MBEA, which processes the chip waveform matched filter output signal without requiring any path delay information, includes blind deconvolution processing using IFC followed by identification of the estimated symbol sequence with the associated user through a user identification algorithm (UIA). Then, some simulation results are presented to support the proposed MBEA and UIA. Finally, some conclusions are drawn