一种用于CDMA系统的新型智能天线

本文提出了一种用于ＣＤＭＡ繁华诉新型智能天线。这种智能天线采用近似等旁瓣方向图，加权矢量无需预先预测、校正，可由累加、平均算法获得，具有良好的工程实现性。本文提出的智能天线与自适应智能天线具有相似的扩容能力，但它无需迭代、响应速度快、鲁棒性也更好。     

一种用于CDMA系统的新型智能天线

本文提出了一种用于CDMA系统的新型智能天线。这种智能天线采用近似等旁瓣方向图,加权矢量无需预先测量、校正,可由累加、平均算法获得,具有良好的工程实现性。本文提出的智能天线与自适应智能天线具有相似的扩容能力,但它无需迭代、响应速度快、鲁棒性也更好。     

码分多址在移动卫星通信系统中的信道容量分析

本文介绍了码分多址联接的移动卫星通信系统及其在不同波束情况下，其信道容量的计算方法，给出了单波束固定天线系统、扫描波束ＣＤＭＡ系统、多波束ＣＤＭＡ系统和ＣＤＭＡ扫描波束回程链的信道容量表达式，并对结果进行了详细分析，对正在着手规划和建立我国的移动卫星通信系统具有一定的参考价值。     

智能天线技术在3G中的应用

自适应阵列智能天线（ＡｄａｐｔｉｖｅＡｒｒａｙＡｎｔｅｎｎａ） ,是一种起源于相控阵雷达的天线技术。自适应阵列智能天线利用基带数字信号处理技术 ,通过先进的算法处理 ,对基站的接收和发射波束进行自适应的赋形 ,从而达到降低干扰、增加容量、扩大覆盖和提高无线数据传输速率的目的。目前 ,自适应阵列智能天线已经成为智能天线发展的主流。本文主要介绍自适应阵列智能天线在３Ｇ中的应用 ,同时介绍了爱瑞通信公司 (ＡｒｒａｙＣｏｍｍＩｎｃ)的ＩｎｔｅｌｌｉＣｅｌｌ技术技术方案。１ 自适应阵列天线技术自适应阵列天线技术是近３０…     

麦得威智能天线系统SpotLight~GSM及其应用

麦得威国际通信公司是一家专业从事移动通信系统中智能天线的研发、生产、销售和服务的公司,总部位于美国西北部的西雅图市。其智能天线产品涉及ＡＭＰＳ、ＣＤＭＡ、ＧＳＭ和３Ｇ。木文将介绍麦得威公司用于ＧＳＭ的智能天线系统 ＳｐｏｔＬｉｇｈｔ　ＧＳＭ及其应用。 ＳｐｏｔＬｉｇｈｔ　ＧＳＭ由一个处理系统和天线阵列组成,如Ｌ图１所示。 天线阵列（Ａｎｔｅｎｎａ Ａｒｒａｙ）是利用巴特勒矩阵（Ｂｕｔｔｌｅｒ Ｍａｔｒｉｘ）来形成四个窄波束。接收处理器（Ｒｃｅｉｖｅ Ｐｒｏｃｅｓｓｏｒ）扫描四个窄波束,利用智能的ＤＳＰ…     

智能天线在未来移动通信系统中的应用

智能天线是近年来移动通信领域中的一个研究热点,是解决频率资源匮乏的有效途径,同时还可以提高系统容量和通信质量。智能天线利用数字信号处理技术,产生空间定向波束,使天线主波束对准用户信号到达方向,旁瓣或零陷对准干扰信号到达方向,以达到充分高效利用移动用户信号并消除或抑制干扰信号的目的。智能天线是一个具有良好应用前景且尚未得到充分开发的新技术,是第三代移动通信系统中不可或缺的关键技术之一。智能天线自适应天线是采用迭代自适应算法、应用于抗干扰军用通信的阵列天线。智能天线是一种应用于个人通信,能够根据所处…     

TD-SCDMA系统中智能天线波束形成的研究

波束形成算法是智能天线的核心和理论基础,TD-SCDMA系统中应用的智能天线技术与传统的切换波束技术相比,最大的优点在于可以自适应的根据用户的方位调整波束方向,将主波束对准来波方向(DOA),而将旁瓣和零陷对准干扰.文中先阐述了智能天线的基本原理,介绍了Capon算法和MUSIC算法以及它们在智能天线波束形成中的应用,进而用Matlab进行了数值仿真,并且讨论了相关参数设置对于算法性能的分析.文章为以后的理论研究提供了平台,对于今后的理论研究有一定的指导意义和参考价值.     

CDMA中智能天线的接收准则及自适应算法研究

在ＣＤＭＡ基站中采用自适应天线阵列可以降低多址干扰，提高系统容量，本文提出了一种适合于移动无线通信环境下的接收准则，最大接收信号准则，并根据该准则提出了空间变步长搜索算法。最后分析了基站采用自适应天线阵列时反向信道容量，与使用无方向天线相比，大大增加了系统容量。     

移动通信中智能天线技术的研究

对现代移动通信系统中采用的智能天线技术进行了研究。介绍了智能天线技术的概念及发展历史;阐述了智能天线的工作原理,基本结构;列举了智能天线技术采用的波束优化滤波算法和用来定位及波束形成的DOA算法,并重点说明了现今智能天线技术采用较多的几种自适应算法;同时,还叙述了智能天线在TD-SCDMA中的应用,以及未来的发展前景。     

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.     

Software radio architecture with smart antennas: a tutorial onalgorithms and complexity

There has been considerable interest in using antenna arrays in wireless communication networks to increase the capacity and decrease the cochannel interference. Adaptive beamforming with smart antennas at the receiver increases the carrier-to-interference ratio (CIR) in a wireless link. This paper considers a wireless network with beamforming capabilities at the receiver which allows two or more transmitters to share the same channel to communicate with the base station. The concrete computational complexity and algorithm structure of a base station are considered in terms of a software radio system model, initially with an omnidirectional antenna. The software radio computational model is then expanded to characterize a network with smart antennas. The application of the software radio smart antenna is demonstrated through two examples. First, traffic improvement in a network with a smart antenna is considered, and the implementation of a hand-off algorithm in the software radio is presented. The blocking probabilities of the calls and total carried traffic in the system under different traffic policies are derived. The analytical and numerical results show that adaptive beamforming at the receiver reduces the probability of blocking and forced termination of the calls and increases the total carried traffic in the system. Then, a joint beamforming and power control algorithm is implemented in a software radio smart antenna in a CDMA network. This shows that, by using smart antennas, each user can transmit with much lower power, and therefore the system capacity increases significantly     

The Downlink Capacity of Single-User SA-MIMO System

In this paper, a novel multiple antenna system framework, which combines smart antennas (SA) with multiple-input-multiple-output (MIMO) at the transmitter, is proposed. The downlink capacity of the single-user SA-MIMO wireless systems is investigated. The joint optimization problem corresponding to the capacity is deduced. After that, upper bounds of the capacity are given in general case and in the case of equal power allocation, respectively. Furthermore, in the case of equal power allocation and the same direction of departure from one transmit smart antenna to all antenna arrays at the receiver the closed-form expression of the capacity is obtained. Some numerical results are given to show that smart antennas can bring significant capacity gain for the MIMO systems due to the smart antennas gain, without additional spatial degrees of freedom, especially at high SNR with strong correlation among the MIMO channel links or at low SNR.     

智能天线在多径信道中的性能仿真与分析

首先讨论了自适应阵列天线算法原理,然后通过对采用LMS算法的智能天线在多径信道中抗多径干扰性能的仿真,进一步分析了多径干扰对智能天线性能的影响。结果表明,智能天线阵列的抗多径干扰性能受信号空间分布、信号幅度等因素的影响。     

Sensitivity analysis of capacity enhancement with adaptivemultibeam antennas for DCS1800

The authors present results for the likely capacity improvement when an adaptive multibeam antenna is used in conjunction with air interface parameters, as with the DCS1800 system. An analysis is made of the possible capacity enhancement while taking into account parameters such as power control, radio channel characteristics and different frequency reuse patterns. The results show that a substantial capacity improvement can be achieved with adaptive antennas, and also highlight the sensitivity of the capacity to operational parameters     

Potentials of smart antennas in CDMA systems and uplinkimprovements

An overview of the application of smart antennas in DS-CDMA systems, including IS-95 and IS-2000, is presented. Since CDMA systems are interference-limited, adaptive antenna arrays have great potential for improving the performance of such systems in terms of capacity, coverage, and quality of service, In this paper, we study the multiple-access interference that affects a CDMA system, and we describe how smart antennas can be implemented in an IS-2000-based mobile communications system. When smart antennas are used at the base station to transmit in narrow beams, the interference on the downlink is reduced, and C/I is improved. This, in turn, increases the system capacity on the downlink or, alternatively, the quality of service is improved. Such gains will prove very beneficial for asymmetric high-speed data applications, requiring much higher bit rates on the downlink than on the uplink. By reducing the base-station receiver's sensitivity, smart antennas can boost the capacity of the reverse link. Results are presented that outline how this reduction can be employed by the system designer on the uplink to increase capacity, reduce the mobile transmit power, or effect a tradeoff between capacity improvement and coverage or range extension under different system-loading scenarios     

一种基于自适应阵列天线的波束赋形算法

自适应阵列天线中的数字波束赋形(DBF)技术是智能天线数字信号处理部分的核心.提出了一种可用于自适应阵列波束赋形的SMI-LMS算法--由SMI(采样协方差矩阵求逆)算法决定LMS(最小均方)算法的初始权向量.该算法充分结合了SMI算法收敛速度快和LMS算法稳态误差小的优点,能在较强干扰环境下,确保权向量的快速收敛和跟踪速度.与传统的LMS算法相比,SMI-LMS算法具有良好的收敛性能、较快的跟踪速度和较小的输出误差,并可以有效改善自适应方向图的副瓣性能.仿真结果验证了该结论.     

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。     

基于遗传算法的智能天线波束形成

为降低智能天线方向图旁瓣电平,加深干扰方向零点深度,提出一种改进的实数编码遗传算法。该算法基于人类的繁殖现象,改进了标准遗传算法的交叉算子,从而克服了标准遗传算法收敛速度慢,易陷入局部最优等问题,提高了优化效率。在仿真实验中,以均匀直线阵为例,用改进的遗传算法对阵元激励的幅度进行优化,形成的方向图获得了更好的结果。     

Space-time interference suppression in DS/CDMA networks

Low-complexity adaptive receivers based on smart antennas with post- and pre-despreading structures are presented. Comparisons between three space-time (ST) schemes employing minimum-mean-square-error, a constant modulus algorithm, and a decision-directed algorithm for constant modulus signals are investigated in detail     

Tomlinson-Harashima Precoded MIMO in wireless networks: to THP or not to THP?

We investigate a wireless network architecture that utilizes Tomlinson Harashima Precoded Multiple Input Multiple Output (THP MIMO) technique for improved system capacity. We consider THP MIMO in a multi user scenario, together with a proposed smart scheduling technique and we explore the capacity performance through extensive capacity analysis considering varying SNR levels, varying number of users and number of transmit/receive antennas, under fading and shadowing, also considering errors in channel state information (CSI). We also evaluate the complexity of THP MIMO and present a low-complexity scheduling algorithm that employs Gram-Schmidt algorithm for incremental implementation of THP’s QR factorization. In the end, we identify the network and channel conditions under which THP MIMO can be preferred over classical conventional MIMO, and we conclude that for practical transceivers with up to four antennas, THP MIMO can provide significant capacity enhancement over conventional MIMO at lower complexity, performing slightly below the sum rate capacity bound. Another important advantage that is observed in this study is better immunity of THP MIMO to CSI errors, as compared to conventional MIMO.