Removal of power line interference in signal-averagedelectrocardiography systems

A method for line interference reduction to be used in signal-averaged electrocardiography (SAECG) systems is proposed and its performance is analyzed. This new method is an adaptation of a previously reported technique for removal of line interference from conventional electrocardiograms. It involves the recording of a line reference signal simultaneous with the lead signals, so that a shifted and sealed version of it can be used to subtract line interference from the leads. It is shown that this line interference subtraction method can reduce line interference effectively and without introducing any additional noise into the ECG signal. It is also shown that Late Potential diagnostic decisions are not altered when this filter is applied. It is recommended that this technique be used in SAECG when line interference is unavoidable     

基于互谱测度法的多通道SAR散射波干扰抑制研究

散射波干扰极大地破坏了合成孔径雷达(Synthetic Aperture Radar,SAR)对地物目标的识别,利用快时间STAP(Space Fast-time Adaptive Processing)可以对散射波干扰进行有效抑制。该文针对多通道SAR, 讨论了互谱测度法在散射波干扰抑制中的应用,分析了干扰加噪声协方差矩阵的互谱,仿真讨论了互谱测度法求解的加权矢量对散射波干扰抑制性能的影响,并和基于主分量分析的散射波干扰抑制算法性能进行了比较。仿真结果表明在同样的自由度下,互谱测度法较主分量分析法可以取得较优的散射波干扰抑制性能。     

基于频域块LMS算法的实时虚拟暗室测试方法

针对电磁辐射现场测试被测设备信号和干扰未知的情况,提出了一种基于频域块最小均方算法的实时虚拟暗室测试方法。该方法采用双通道接收机,根据测试通道和背景通道中干扰信号的相关性设计自适应滤波器,在频域对背景通道信号滤波以趋近测试通道中的干扰分量,采用瞬时双通道信号迭代更新滤波器系数,滤波器系数收敛后系统输出中只有被测设备信号。仿真与分析表明,该方法在背景通道有无被测设备信号泄露的情况下都能有效抑制干扰,与基于时域最小均方算法的方法相比,在滤波器长度相同的情况下其计算复杂度更低,适用于实时现场测试。     

Multiuser beamforming based on max SINR for downlink spatial multiplexing MIMO

In this article, a method based on max signal interference noise ratio (SINR) criterion is proposed, to mitigate the interuser interference for downlink multiuser spatial multiplexing multi-input multi-output (MIMO) systems.Unlike the zero forcing (ZF) scheme in which the SNR is decreased when the interference is eliminated completely, max SINR method makes a compromise between noise and interuser interference.When the number of substreams is larger than the difference between the number of base station antennas and the sum of interference mobile station antennas, the ZF is infeasible.An existing coordinated TX-RX block diagonalization (COOR BD) method uses preprocessing at the receiver to cancel the interuser interference.However, it cannot obtain more receive diversity gain because of the preprocessing.Analysis and simulation show that the max SINR scheme has better performance than the ZF method.Moreover, when the ZF is infeasible, the max SINR scheme can obtain more receive diversity gain than COOR BD in the two-user case.     

Sidelobe suppression in OFDM-based spectrum sharing systems using adaptive symbol transition

In this letter, we introduce a new method for orthogonal frequency division multiplexing (OFDM) sidelobe suppression. An extension is added to OFDM symbols that is calculated using optimization methods to minimize adjacent channel interference (ACI) while keeping the extension power at an acceptable level. Using this technique, interference to adjacent signals is reduced significantly at the cost of a small decrease in the useful symbol energy. The proposed method can be used by cognitive radio (CR) systems to shape the spectrum of OFDM signals and to minimize interference to licensed users (LU), or to reduce the size of guard bands used in conventional OFDM systems.     

雷达通信一体化中的遍历干扰对齐

针对由相控阵雷达和多用户多输入多输出(Multiple-Input Multiple-Output,MIMO)通信系统组成的雷达通信共存架构,为消除系统间的干扰,提出一种遍历干扰对齐算法.利用这种方法可以有效地消除相控阵雷达和MIMO通信系统之间的相互干扰,且可以利用相控阵雷达的相干累加特性提高雷达系统的检测性能.分析了通信干扰对相控阵雷达系统的影响,并推导出相应的检测概率.理论分析和仿真结果都验证了遍历干扰对齐方法的有效性.     

基于改进的自相关匹配准则的盲均衡算法

本文针对多输入多输出(MIMO)信道模型,提出了一种新的信道盲均衡算法.该算法根据迫零条件,通过具有特殊自相关函数的前置滤波器的设计,采用改进的自相关匹配准则,实现了信道的完全均衡和信号的恢复.文章从理论上证明了该算法在存在高斯白噪声(AWGN)的非理想信道中,能够在信噪比变化的情况下满足迫零条件.通过与原有的自相关匹配方法、最小均方算法(LMS)的比较,模拟结果显示了本方法良好的性能.     

基于修正GAPES的GPS脉冲干扰抑制方法

GPS L5信号以及我国北斗卫星导航系统所用的B2a信号是未来全球卫星导航系统的重要组成部分,但现存的航空无线电设备对L5和B2a信号所在频段造成了不可忽视的干扰,其中测距仪设备的大功率脉冲干扰是GPS L5所在频段内主要的脉冲干扰源。在脉冲干扰抑制方法中,最常用的脉冲干扰抑制方法是时域脉冲消隐方法。但此方法在抑制干扰的同时会造成有用信息的丢失,形成缺口数据。本文提出一种缺失数据恢复的新方法,首先利用混合滤波方法抑制干扰,得到缺口数据的部分有用信息,用此信息作为初始值,进行循环迭代处理。由于利用了缺口数据部分的有用信息,因此该方法得到的缺口数据估计值更接近于未受干扰的原始数据。仿真实验结果表明,所提方法相比传统GAPES方法具有更好的性能。      

多小区MU-MIMO系统中基于泄露干扰迫零的分布式块对角化预编码设计

该文对多小区MU-MIMO中的预编码设计进行了研究。通过将单小区块对角化预编码进行扩展,将泄漏到邻小区的干扰纳入考虑范围,采用泄露干扰迫零的块对角化预编码,利用发送端提供的额外自由度直接将泄露干扰进行子空间迫零,消除泄露干扰,并且小区内用户之间也进行子空间迫零,消除用户间干扰;从而降低小区间干扰对多用户MIMO系统的不利影响。并且对本文所提算法复杂度进行了定量分析,表明该方案具有较低的计算复杂度。最后通过仿真全面分析了不同参数条件下的系统性能,结果显示该方法能够提高系统的传输速率。      

对STAP技术的移频灵巧噪声干扰研究

空时自适应处理（STAP）技术具有优越的杂波抑制性能和抗干扰能力,对其开展干扰研究十分必要。首先介绍了STAP的基本原理,然后基于周期方波卷积干扰和移频干扰的原理和特点,提出了一种移频灵巧噪声干扰新方法,并阐述了该方法对目标检测的干扰作用机理。该方法先将截获的雷达信号移频处理,再与周期方波卷积,并对周期方波的各项参数进行调整,可产生不同的干扰效果。理论分析表明：该方法可产生大量的数量可控、位置可调、幅度可变的假目标信号,根据假目标数量的不同,可分别实现欺骗干扰和压制干扰,能够构造非均匀环境,大大降低STAP处理器的性能。最后通过Matlab仿真验证了理论分析的正确性和干扰方法的有效性。     

Turbo编码MIMO OFDM系统多径干扰抵消

正交频分复用(OFDM)利用保护间隔(GI)消除因多径时延而产生的符号间干扰(ISI)和载波间干扰(ICI),但是太长的GI会占用过多的信道资源。为此,在保持一定GI长度的情况下,提出了利用减法抵消法消除ISI和加法抵消法抵消ICI的多径干扰抵消(MPIC)方法,使得当多径时延大于GI时,仍然可以保持系统的低误码率以及较强的抗多径干扰的优异性能。蒙特卡洛仿真结果表明,有多径干扰的情况下,在Turbo码编码的MIMO OFDM系统中使用提出的多径干扰抵消方法可以更有效地减少ISI和ICI。     

基于自适应小波包变换的直接序列扩频通信窄带干扰抑制技术

本文提出一种基于小波包变换的直接序列扩频通信窄带（单、多音）干扰抑制技术。该技术通过小波包分解将信号和干扰分离,然后再对滤波处理后的分解结果进行小波包合成,以此达到窄带干扰去除的目的。文中对这种方案的性能进行了分析并给出了仿真结果。结果表明,与传统的方法相比,它具有较好的误比特率性能,较快的干扰定位速度和简单的计算复杂度。是宽带系统中行之有效的窄带干扰抑制方法,尤其适合于窄带干扰以近似于比特率的速度快速变化的场合。     

Local polynomial estimator for narrowband interference suppression in TH-UWB systems

Ultra-wideband (UWB) technology has been considered to offer an innovative solution for future short-range high-speed wireless communications. These systems use very low transmission power, spread over a bandwidth of several gigahertz. The very low transmission power and the large bandwidth used, enable UWB radio systems to co-exist with other narrowband systems over the same frequency band without interfering the narrowband systems. Nevertheless, these narrowband systems may cause interference which may jam the UWB receiver completely. Since standard narrowband interference suppression techniques are not applicable, techniques for interference suppression have to be developed. In this paper, the method of the local polynomial estimator in time-hopping impulse radio (TH-IR) for UWB communication is considered, which should not estimate any parameter of channel. And the narrowband interference (NBI) is modeled as a stationary process. Theoretical analysis of this algorithm reveals that it can eliminate the narrowband interference almost completely and can be computed by simple expression. Moreover, the sampling rate is very low.     

一种GPS接收机级联抗干扰方法

文章研究GPS接收机抗干扰技术,提出了一种级联抗干扰方法,利用变换域消除窄带干扰,然后用互谱度量方法消除剩余干扰。文章给出了变换域抗窄带干扰方法的一般流程;设计了变换域方法的核心部分频域处理算法。证明在接收信号频谱中,如果某一段频谱平坦或接近平坦,这段频谱就服从高斯分布,并可推出谱线的幅度服从瑞利分布。根据这个性质,提出频谱分段处理的方法,利用接收信号频谱均匀频段的统计特性进行窄带干扰抑制。通过列举空时联合处理方法说明其资源消耗和信号失真均大于本文提出的级联方法。仿真表明在有宽带干扰存在的情况下,使用本文提出的方法可以检测并消除窄带干扰。通过多干扰环境下的仿真,测得该方法的抗干扰能力比空时联合方法更好。      

A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist

This paper proposes a novel prewhitening eigenspace beamformer suitable for magnetoencephalogram (MEG) source reconstruction when large background brain activities exist. The prerequisite for the method is that control-state measurements, which contain only the contributions from the background interference, be available, and that the covariance matrix of the background interference can be obtained from such control-state measurements. The proposed method then uses this interference covariance matrix to remove the influence of the interference in the reconstruction obtained from the target measurements. A numerical example, as well as applications to two types of MEG data, demonstrates the effectiveness of the proposed method.     

Event-synchronous cancellation of the heart interference inbiomedical signals

A two-pass adaptive filtering algorithm is proposed for cancellation of recurrent interferences such as the heart interference in biomedical signals. In the first pass, an average waveform in one period of the interference is estimated by event-synchronous (QRS-synchronous) averaging of the corrupted signal. In a second pass, an adaptive Schur recursive least squares (RLS) lattice filter is used to cancel the interference by using the event synchronously repeated estimated average waveform of the interference as an artificial reference signal. One key feature of this approach is that the ECG is only used for QRS synchronization and not directly as a reference signal for adaptive filtering. Thus the proposed algorithm can be applied to interference problems where ECG and true interference are almost synchronous but show considerably different waveforms. This is usually the case with the heart interference in biomedical signals. Both off-line and real-time implementations of the event synchronous interference canceller are described. The method is applied to the cancellation of the heart interference in magnetoencephalogram (MEG) signals and to the effective isolation of ventricular extrasystoles (VES) in magnetocardiogram (MCG) signals. Experimental results are shown. The new method typically attenuates the amplitudes of R-wave and T-wave interference components by an amplitude factor of 30 without influencing the MEG events of interest     

基于软判决的MMSE-OSIC接收机

串行干扰相消接收机是广泛应用于多输入多输出系统中的一种接收端信号处理与检测技术。在串行干扰相消接收机中,先检测的层的判决准确性会对后续层的检测产生影响。检测过程中产生的判决误差,将对后续层的检测引入残留干扰,进而影响后续层检测的正确性,造成差错传播。本文提出一种基于软判决的最小均方误差检测带排序串行干扰相消接收机,可以有效减轻基于硬判决方法的带排序串行干扰相消接收机的差错传播问题。在重构干扰信号时,该接收机使用根据软判决信息得到的符号期望,替代硬判决方法,能够有效降低干扰相消时各层之间由判决误差引起的残留干扰;该接收机还可以精确估计残留干扰的功率以及各层数据流的后处理信干噪比,改善了基于硬判决方法的串行干扰相消接收机存在的各层后处理信干噪比估计值偏大的问题。可靠性更高的软判决结果有效降低了残留干扰,更精确的各层后处理信干噪比抑制了残留干扰对后续数据流检测的影响,提高了判决结果和排序过程的准确性。仿真结果证明,基于软判决的最小均方误差检测带排序串行干扰相消接收机可以有效避免差错传播的产生,因而获得较大的性能提升。      

基于复数据经验模式分解的天波超视距雷达瞬态干扰抑制

针对目前大多数瞬态干扰抑制方法需要先抑制海(地)杂波,计算复杂度高等问题,该文提出了一种基于复数据经验模式分解(CEMD)的天波超视距雷达瞬态干扰抑制方法。该方法在CEMD分解雷达回波信号后,同时完成瞬态干扰的检测、挖除和数据重构。它的主要优点是无需抑制杂波,也不需要通过自回归(AR)模型预测恢复数据,运算量小,实用性强。实测数据处理结果表明:该方法可以有效地抑制瞬态干扰。     

基于门限估计的直扩通信系统窄带干扰变换域抑制方法

该文提出一种基于门限估计的直接序列扩频(DS-SS)通信系统窄带干扰变换域抑制方法。该方法对直扩通信系统接收信号变换域数据的分布特点进行了分析,并采用高斯分布对其作了近似.由于高斯分布的方差即为直扩信号和高斯白噪声方差之和,因此估计出变换域数据的方差,将为频域抑制滤波器的门限设置提供参考。该文采用最大似然比(ML)准则对方差进行了估计,从而实现了频域抑制滤波器的自动门限设制。理论分析和计算机仿真结果均表明,该方法能够有效地抑制直扩通信系统中的窄带干扰。     

基于无人机辅助的高精度卫星干扰源定位

针对传统双星定位方法难以实现高精度卫星干扰源定位的问题,提出了一种利用无人机辅助获得高精度定位的方法。使用无人机在干扰源所在区域的上空接收干扰上行信号,地面接收站分别测量经过卫星和无人机转发的干扰下行信号,在不同的观测时刻移动无人机位置,构造多时差联合定位方程组,再利用非线性最小二乘算法计算得出干扰源位置。仿真结果表明该方法能显著的提高卫星干扰源的定位精度,是一种定位精度高、稳定性强的定位方法。