梯度可变遗忘因子RLS算法在智能天线中的应用

提出了用于智能天线自适应波束形成的梯度变遗忘因子RLS算法-GVFF-RLS (Gradient variable forgetting factor Recursive Least Square)算法，通过稳态性能分析及仿真模拟结果，此算法相比其它RLS算法有更快的跟踪能力和更小的均方误差(Mean Square Error)，并且在低信噪比的条件下仍能保持良好的性能。     

TD-LMS在TD-SCDMA上行接收机中的应用

智能天线技术是TD-SCDMA系统中的一项关键技术。本文将研究TD-LMS(Transform Domain Least Mean Square)在TD-SCDMA上行自适应波束成型中的应用。首先通过误比特性能的比较发现基于小波的正交阵比常用的离散余弦变换正交阵更加适合于TD-LMS算法；其次为了检验这样一种算法的实用性，研究了定点计算的性能。蒙特卡罗仿真和复杂度分析的结果表明，基于小波变换的TD-LMS算法可以在自适应波束成型中得到应用以达到性能和复杂度的折衷。     

基于CMA算法的智能天线自适应波束形成研究

自适应波束形成是智能天线的核心技术,其主要思想是利用自适应算法调整阵列的权向量,将各阵元接收到的信号进行加权求和,把天线阵列形成的波束“导向”到特定方向上。本文介绍了恒模算法（CMA）和最小二乘恒模算法（LS—CMA）两种盲波束形成算法并运用Matlab软件对两种算法进行仿真分析,仿真结果表明,LS—CMA具有更快的收敛速度以及更好的抗干扰能力。     

基于DOA的自适应波束形成策略

由多波束智能天线的工作原理可知,其实质是对空间的离散化。将这一思想用于自适应智能天线,根据DOA估计,对用户周围的空间离散化,提出了一种自适应智能天线波束形成策略,可以有效避开自适应智能天线算法实时运算量大的问题。     

一种智能天线降维频域波束形成算法的研究

本文提出一种智能天线降维的频域自适应波束形成（RFD—ABF）算法,该算法先对接收信号进行FFT,然后再带通滤波,最后通过LMS算法实现了频域的自适应波束形成。此算法可以有效降低信号的维数,消除干扰信号,大大降低计算量和存储量,通过对此算法收敛速度和有效抑制干扰的仿真,验证了智能天线降维频域波束形成算法的可行性,为智能天线技术在第三代移动通信系统应用提供理论基础。     

平面天线阵快速正交投影波束形成算法

针对大型平面天线阵列下样本数据含有期望信号时，正交投影（OP）波束形成算法不再适用的问题，提出一种新的基于阻塞矩阵的正交投影快速波束形成算法。该算法首先构造阻塞矩阵从样本信号中阻塞掉期望信号，再对阻塞后的样本信号进行施密特（GS）正交化得到重构后的干扰子空间，最后在此基础上实现正交投影波束形成。新算法适用于任意阵型的二维均匀平面阵，在小快拍数下能快速计算出自适应权重。仿真结果表明，无论是弱干扰信号还是强干扰信号，该算法都具有很好的抗干扰性能。     

阵列天线自适应波束形成的一种改进方法

介绍了矩阵求逆（SMI）的阵列天线自适应数字波束（DBF）形成的一种旁瓣抑制的方法。由于信号协方差矩阵估计误差的存在,自适应方法形成的波束会产生畸变,随着杂波小特征值发散程度的增加,有时形成的自适应波束会出现较高的旁瓣。文中重点分析了波束发生畸变的原因并提出了旁瓣抑制的一种改进方法,算法有效地对协方差矩阵估计进行了修正。仿真结果表明存在干扰的情况下,当迭代次数和迭代增益大小选择适当时,该方法能有效地降低自适应旁瓣高度,而且不会对干扰零深产生明显影响,增强了空时波束形成算法的鲁棒性。     

NLMS算法波束形成性能的研究

通过智能天线中的自适应波束形成技术可自动跟踪有用信号和抑制干扰。文中探讨了自适应波束的形成原理,并运用NLMS自适应算法得出了最优权向量,然后通过仿真分析了天线阵列的结构尺寸、入射信号以及信干比SIR对NLMS算法波束形成器性能的影响。     

智能天线自适应波束形成技术现状及发展

文章介绍了智能天线自适应波束形成技术的基本概念及典型自适应波束形成方法，归纳了自适应波束智能天线的主要结构形式。在此基础上，分析了自适应波束智能天线实现中面临的几个问题，探讨了自适应波束形成技术未来的发展趋势。     

自适应波束形成器的研究设计

自适应波束形成技术是智能天线领域的核心技术,其利用自适应波束形成算法,根据用户的空域信息来产生空间定向波束,将波束的主瓣对准期望用户的来波方向,旁瓣或零陷对准干扰信号的来波方向.文中介绍了一种基于DSP结合FPGA的波束形成器的实现形式,该系统能够实时地处理数据,并很好地完成预定指标.     

Co-channel interference canceller using CMA adaptive array antenna

A co-channel interference canceller that uses a constant modulus algorithm (CMA) adaptive array antenna is presented. In this canceller, when a CMA adaptive array antenna captures a co-channel interference signal, a replica of this signal is generated and then eliminated from a received signal, thus a desired signal can be obtained. Computer simulation results show that the proposed canceller can effectively reduce co-channel interference     

CMA Performance in CDMA Transmit Diversity System

1IntroductionThe capacity and performance of CDMAare largelyaffected by disturbances ,and Multi-Access Interference( MAI) is the main disturbance factor whenthe numberof user is large . Blind adaptive Multi-User Detection(B-MUD)is aneffectivetechniquetoreduce MAI[1 ~2].In many advanced and convergence faster algorithms ,Constant Mode Algorithm ( CMA) is an efficient B-MUDand has better systemperformance .Refs .[3 ~6]depict the CMAin details .The channel of mobile communications p…     

CMA自适应阵列在CDMA通信系统的应用

由于CDMA(Code Division Multiple Access)通信系统实施了功率控制，在基带不能直接用CMA进行自适应阵列的波束形成．通过分析CDMA系统的特点，我们提出在接收信号解扩后再应用CMA进行波束形成．这种新的波束形成方法不仅为CMA自适应阵列在CDMA系统中的应用提供了一种途径，而且还能防止CMA收敛到错误信号上，从而提高系统的可靠性．仿真结果表明，与全向天线系统相比，采用CMA自适应阵列的系统性能有了很大的改善，系统的容量得到成倍的增加．在强干扰情况下，虽然CMA的干扰方向信号抑制效应变弱，但其性能改善仍然十分明显．     

A Supervised Constant Modulus Algorithm for Blind Equalization

Blind equalization is a technique for adaptive equalization of a communication channel without the aid of the usual training sequence. Although the Constant Modulus Algorithm (CMA) is one of the most popular adaptive blind equalization algorithms, it suffers from slow convergence rate. A novel enhanced blind equalization technique based on a supervised CMA (S-CMA) is proposed in this paper. The technique is employed to initialize the coefficients of a linear transversal equalizer (LTE) filter in order to provide a fast startup for blind training. It also presents a computational study and simulation results of this newly proposed algorithm compared to other CMA techniques such as conventional CMA, Normalized CMA (N-CMA) and Modified CMA (M-CMA). The simulation results have demonstrated that the proposed algorithm has considerably better performance than others.     

Interference rejection using the time-dependent constant modulusalgorithm (CMA) and the hybrid CMA/spectral correlation discriminator

Two new blind adaptive filtering algorithms for interference rejection using time-dependent filtering structures are presented. The time-dependent structure allows the adaptive filter to outperform the conventional adaptive filter implemented with a time-independent structure for filtering of cyclostationary communication signals. At the same time, the blind adaption algorithms allow the filters to operate without the use of an external training signal. The first algorithm applies the CMA to an unconstrained time-dependent filtering structure. The second algorithm applies the CMA to a spectral correlation discriminator, which is constrained to select signals with unique spectral correlation characteristics. Using computer simulations, it is shown that the blind time-dependent filtering algorithms can provide mean-square errors (MSEs) and bit error rates (BERs) that are significantly lower than the MSEs and BERs provided using conventional time-independent adaptive filters. It is also shown that these processors can outperform the nonblind training-sequence directed time-independent adaptive filter     

A feedback approach to the steady-state performance of fractionallyspaced blind adaptive equalizers

This paper proposes a new approach to the analysis of the steady-state performance of constant modulus algorithms (CMA), which are among the most popular adaptive schemes for blind equalization. A major feature of the proposed feedback approach is that it bypasses the need for working directly with the weight error covariance matrix. In so doing, approximate expressions for the steady-state mean-square error of several CM algorithms are derived, including CMA2-2, CMA1-2, normalized CMA, and a new normalized CMA variant with less bias. A comparison among the various algorithms is also performed, along with several simulation results. The conclusions confirm the superior performance of CMA2-2     

移动通信中基于智能天线的抗多径干扰技术

本文首先概述了多径信道传输特性,在此基础上,重点讨论了基于智能天线抗多径干扰技术的理论,并对基于ＣＭＡ算法的智能天线抑制多径干扰进行了计算机仿真。     

BER performance of CMA adaptive array for high-speed GMSK mobilecommunication-a description of measurements in central Tokyo

This paper describes the performance of an adaptive array as a countermeasure to multipath fading for a 256 kbps Gaussian-filtered minimum shift keying (GMSK) mobile communication system operating in the 1.5 GHz band. An adaptive array having four antenna elements is implemented using the digital beam forming concept. The constant modulus algorithm (CMA) is employed for the adaptation process to ease the implementation. Measurements in central Tokyo of the bit error rate (BER) performance and an array pattern arising in the multipath environment are presented. Analysis of the array pattern confirms that the array succeeds in directing nulls to the delayed signals. BER performance shows an improvement in E_b/N₀, compared with that of a single antenna system, of 17.5 to 22 dB at a BER of 1.0×10^-2 in a frequency-selective fading channel     

A New Blind-Equalization Algorithm for an FIR SIMO System Driven by MPSK Signal

We consider the problem of blind equalization of a finite impulse response and single-input multiple-output system driven by an M-ary phase-shift-keying signal. The existing single-mode algorithms for this problem include the constant modulus algorithm (CMA) and the multimodulus algorithm (MMA). It has been shown that the MMA outperforms the CMA when the input signal has no more than four constellation points, i.e., Mles4. In this brief, we present a new adaptive equalization algorithm that jointly exploits the amplitude and phase information of the input signal. Theoretical analysis shows that the proposed algorithm has less mean square error, i.e., better equalization performance, at steady state than the CMA regardless of the value of M. The superior performance of our algorithm to the CMA and the MMA is validated by simulation examples     

DVB-C接收机中均衡的一种实现方法

针对DVB-C信号的特点,接收机中自适应均衡器采用的是分数间隔判决反馈均衡器的结构,与改进的CMA盲均衡算法和自适应算法DDLMS相结合.在仿真中,在有线多径信道条件下,此均衡器能较好地消除多径干扰,具有较好的性能,而不需要任何的训练序列和导频的存在.