基于QR分解的循环迭代检测算法

理论和实践研究表明垂直分层空时码可显著提高多天线系统的传输容量。为克服垂直分层空时码QR分解检测算法不能充分利用多天线分集增益信息的缺点,提出循环迭代QR分解检测算法。新算法在QR分解检测算法基础以循环迭代方式利用多天线系统提供分集增益信息,从而改善检测器性能。分析和仿真表明循环迭代QR分解检测算法复杂度是连续干扰消除算法的五分之一;在对称系统中（接收天线和发送天线数相等）,新算法性能优于连续干扰消除算法。     

短波天线在人防通信中的选型研究

本文阐述了短波天线的分类,详细介绍了地波天线和天波天线中几种常用的天线,以及每一种短波天线的应用场景。从主客体、用途、架设条件、经济价格、环境干扰五个维度,对短波天线进行最优选择。     

基于信泄噪比的改进预编码算法研究

为改善用户自身天线间的干扰和信道噪声干扰对SLNR算法性能的影响,对SLNR算法进行了改进,包括两种改进算法：SLNR_ZF算法是利用ZF算法可以消除用户自身天线间干扰的作用将其引入到SLNR算法中;SLNR_MMSE算法是在SLNR_ZF算法的基础上引入规范化因子,消除噪声干扰。通过仿真结果表明,改进的两种优化算法可以有效地消除包括用户自身天线间干扰、用户间干扰和噪声干扰的多种干扰,提高小区边缘用户的吞吐量和误码率。     

频率选择性信道下的MIMO收发机联合设计

研究了频率选择性信道下非块传输多天线系统的线性空间收发机联合设计问题,提出了基于最小均方误差准则(MMSE)的联合最优收发算法.为了避免MMSE算法所需要的收发机迭代计算,还给定MMSE接收机、提出了一种低复杂度的串行搜索迫零(ZF-SS)发射预编码,它能够采用多天线提供的空间资源减小或消除多径信道带来的符号间干扰.仿真分析表明,MMSE算法和ZF-SS算法在高信噪比下的性能明显优于现有的基于特征值的波束形成算法.     

基于并行干扰消除算法的信道估计

为降低TD-SCDMA系统同频组网时同频邻区对终端信道估计造成的同频干扰,提出了一种时域的平行干扰消除算法,相对于串行干扰消除算法,在有多个强同频邻区干扰的条件下,表现出了更好的性能。     

多天线两小区蜂窝系统的低开销线性干扰对齐算法

在蜂窝系统中,由于干扰的存在,用户性能受到影响,特别是对于小区边缘用户,其通信质量较差。干扰对齐作为一种能够消除干扰、提高系统容量的技术,近年来受到广泛关注。针对多天线两小区蜂窝系统的边缘用户,本文给出了一种系统开销小、需要天线数少的线性干扰对齐算法。该算法利用发送端预编码矢量消除小区内干扰,利用接收端干扰抑制矢量消除小区间干扰。采用本文算法后,在每个小区有 个用户、基站有 根发送天线、用户有 根接收天线的情况下,只需 和 就可以实现上下行的干扰对齐,整个系统可以达到 的自由度,并且在下行链路中不需要小区间反馈,而在上行链路中只需要较小的小区间反馈。仿真结果表明,本文提出的算法能够以较小的开销实现比以往的算法更好的性能。      

混合干扰抵消技术在导航接收机中的应用

在扩频体制的无线电导航系统中,接收机同时会收到多个导航台发射的地波和天波信号,这样接收点同时存在天波干扰和远近效应问题。提出基于天地波识别的远近效应判定算法和混合干扰抵消方法,在捕获结果都为地波的前提下,判断是否存在远近效应,利用串行干扰抵消跟踪获得较准确的初始数据估计,在此基础上用并行干扰抵消使信息数据更加精确。分析了干扰的因素,建立了实现原理框图,从而得出系统性能。仿真结果表明,利用改进的干扰抵消技术不仅可以提高系统的识别能力,还可以提高对于导航电文的接收性能。     

用于智能天线系统的多小区空时联合处理算法

TD-SCDMA系统同频组网时,邻区用户同样会产生多址接入干扰,而传统的联合检测无法消除.为了抑制邻区干扰,对上行链路接收端提出了一种将联合检测扩展到多个小区并与智能天线相结合的多小区空时联合处理算法.该算法根据对邻区用户信道估计的结果选择其中的强干扰用户,并将邻区强干扰用户和本小区用户的复合信道冲激响应同时纳入空时联合处理的系统矩阵.仿真结果表明,在室内-室外和高速车载信道模型下,采用多小区空时联合处理算法的接收机解调性能有3～4.8 dB的提升.此外,讨论了邻区相关信息的获取、邻区强干扰用户的选择和运算复杂度等具体实现时需考虑的问题.多小区空时联合处理算法可有效消除邻区强干扰用户的干扰,从而大幅提高了同频组网时系统的性能.     

时空联合解扩重扩智能天线研究

提出了一种时空联合解扩重扩智能天线.该智能天线在每个阵元输出带有时域均衡器,可以在多径环境下有效消除多径干扰和多用户干扰,提高信噪比.仿真结果表明,该方案的性能优于传统的解扩重扩智能天线.     

LTE-A系统中JP-CoMP预编码算法

在LTE-Advanced（LTE-A）系统中,针对目前多用户协作多点传输中常用的预编码算法不能在消除用户间的干扰和自身天线之间干扰的同时考虑系统噪声影响这一现象,提出两种优化的算法：一种是将BD算法与MMSE算法结合;另一种是在SLNR算法的基础上再次利用ZF算法.这两种优化算法都是在消除所有干扰的基础上同时考虑噪声影响的一种方案,仿真结果表明,这两种优化算法可以有效的降低系统误码率,提供了系统性能.     

Adaptive scheme for elimination of broadband noise and impulsivedisturbances from AR and ARMA signals

The problem of elimination of measurement noise and impulsive disturbances from autoregressive and autoregressive moving average signals is considered. It is shown that the task of simultaneous detection/tracking/restoration can be stated as a nonlinear filtering problem and solved using the theory of extended Kalman filter. Numerical tests carried out for real audio signals corrupted by both real and artificially generated disturbances confirm very good properties of the proposed algorithm     

Direction and polarization estimation using arrays with small loopsand short dipoles

It is shown that when polarization-sensitive arrays consisting of crossed small loops and short dipoles are used, one can eliminate the requirement in the ESPRIT algorithm that sensors must occur in matched pairs. The dipoles and loops are sensitive to the polarizations of incident electromagnetic plane waves. The dipoles are sensitive to the incident electric field components, and the loops to magnetic field components of the incident waves. The invariance properties among the dipole and loop outputs of an arbitrary array of orthogonal loops and orthogonal dipoles are exploited to compute both the two-dimensional arrival angles and polarizations of incoming narrowband signals. It is shown that with dipoles and loops, vertical arrays are not necessary to obtain good direction estimates for signals from low angles     

基于IFFT频谱相除的罗兰C天地波识别新算法

目前模拟接收机的周期识别复杂、识别时间长,而相关文献提出的算法在罗兰C天地波到达时间间隔小于50时估计误差大。为了准确估计时间间隔小于50的天地波到达时刻,在IFFT频谱相除技术基础上提出天地波分别识别的新算法。在证明了方法可行性的基础上,采用该算法仿真分析了天波以及地波自动识别的准确性。结果表明,利用该算法,天地波自动识别的准确率分别可达99.6%和98.6%以上,相对USCG标准可改善信噪比6dB。     

Interference-reducing antennas for shortwave broadcast listeners

Principles useful in the design of directional antennas capable of reducing interference in shortwave-broadcast reception are identified. Examples are given of designs which go beyond the time-honored vertical loop. It has been found that significantly improved rejection of both ground- and sky-wave interference can be obtained with minimum modification to the associated receiver, even in typical indoor environments. Measurements suggest that single-source sky-wave signal reductions of 20 dB can be achieved on average. This is sufficient in many instances to give satisfactory separation of two signals on the same frequency of comparable strength and having azimuth differences of 90° or greater. It seems likely that widespread use of these antennas would significantly reduce the severity of co-channel interference in shortwave broadcasting     

Probability-based current dipole localization from biomagneticfields

Focal biomagnetic sources are described as pointlike current dipoles. The dipole parameters, position, and moment coordinates are commonly determined from biomagnetic data using iterative nonlinear optimization algorithms such as the Levenberg-Marquardt algorithm. However, even for single-dipole sources, mislocalizations can occur due to side minima of the cost function or due to a wrong choice of the start vector. This can be shown by introducing a cost function where the independent variables are only the position coordinates instead of position and moment coordinates. This dimensional reduction-which is also possible for multiple dipole sources-is achieved by calculating the cost function at each position with the position and data-dependent, optimum dipole moments. The authors call these dipoles with-in a least squares sense-optimum moments, locally optimal dipoles. The visualization of such a single-dipole cost function and of the iteration steps of the Levenberg-Marquardt algorithm show why mislocalizations cannot be avoided. Therefore, the authors propose an alternative noniterative localization algorithm for single-dipole sources without this drawback. It uses localization probabilities calculated by means of the locally optimal dipoles. Besides the determination of the dipole parameters, the proposed algorithm furnishes a reliable error for each localization. Its effectiveness is shown with simulated and real patient data     

电离层多普勒频移的预测

超视距雷达工作在短波波段,通过电离层的折射,可探测到常规雷达无法探测到的地平线以下的远距离目标。但雷达电波经电离层折射,探测结果必然受到电离层的影响,其主要特征之一是回波谱中常伴随多普勒(Doppler)频移。文中简单描述电离层Doppler频移的产生机制,并在已预测电离层信道参数的基础上利用数字射线追踪技术对E层、F2层的高频天波Doppler频移进行预测。     

RAM-based angle estimation with linear spatially separated polarisation sensitive array

Two-dimensional direction of arrival (2D-DOA) and polarisation estimation of multiple incident signals for linear spatially separated polarisation sensitive array (SS-PSA) is investigated with reweighted atomic norm minimisation (RAM) algorithm. Single vector sensor in this paper is composed of spatially separated three dipoles and three loops. Firstly, the received data of the proposed array with single snapshot is converted into the new received data with six virtual snapshots. Each virtual snapshot data is the data sensing by dipoles or loops located in the same direction. Secondly, based on each virtual snapshot data, the complex amplitudes and frequencies of the virtual signals are restored using RAM algorithm. Lastly, 2D-DOA and polarisation angles are derived according to the restored complex amplitudes and frequencies. Simulation results demonstrate that the RAM algorithm used in 2D-DOA and polarisation estimation with SS-PSA exhibits superior performance, which is better compared with polarisation multiple signal classi?cation (PMUSIC) algorithm and rotational invariance techniques (ESPRIT) algorithm.     

A novel absorb/transmit FSS for secure indoor wireless networks with reduced multipath fading

A novel absorb/transmit frequency selective surface (FSS) is presented for 5-GHz wireless local area network (WLAN) applications. The novelty of the design is that it is capable of absorbing, as opposed to reflecting, WLAN signals while passing mobile signals. The FSS consists of two layers, one with conventional conducting cross dipoles and the other with resistive cross dipoles. The absorption of the WLAN signal is important to reduce additional multipaths and resultant fading otherwise caused by the FSS. The structure has good transmission characteristics for 900/1800/1900-MHz mobile bands and performs well for both horizontal and vertical polarizations. The distance between the two layers is less than a quarter free-space wavelengths. Theoretical and experimental results are presented.     

信号的二维到达角和极化估计

本文论述了一种基于子空间方法的多信号二维到达角和极化参量的估计算法。该方法采用了交叉偶极子阵元组成的L型阵列,利用子阵输出信号数据矩阵中包含的信号空间的旋转不变性质,借助于矩阵束方法求解出信号的二维到达角和极化参量的估汁值,并自动进行参数的配对。仿真结果证实了该算法的有效性。