多分辨重叠变换在扩频通信系统抗干扰中的应用

 本文利用多分辨重叠变换(HLT)把接收机信号映射到变换域进行抗干扰处理.与重叠变换(LT)不同,HLT对信号频谱的非均匀划分可以有效地把干扰能量集中在有限的变换域子带(Transform Bins)中,因此对抑制随机脉冲干扰非常有效.与小波变换(WT)相比,HLT对信号频谱的划分更加灵活.由于可以使用基于重叠变换的快速算法,在滤波性能相当的情况下,HLT比小波变换节省计算量.仿真结果表明,其于HLT的变换域处理方案可以有效地抑制非时变窄带干扰和时变宽带干扰,明显地改善系统性能.     

一种新的重叠变换域抗窄带干扰技术

本文采用改进的重叠变换域中值滤波算法进行变换域抗干扰处理.该算法既考虑到直接序列扩频信号的特点,同时又利用重叠变换的特性对变换域系数进行了二次滤波.该算法节省处理时间,并且不需要有关干扰的先验知识,系统性能不会随干扰频率变化而变化,因而是一种很稳健的处理方法.     

利用基于滤波器组的重叠变换抑制扩频通信系统中的时变干扰

本文提出了基于滤波器的重叠变换方法,并对滤波器组结构进行了一些改进,使之在提供频率信息的同时保留了信号的时域信息,因此物品处理时变干扰,仿真结果证明,采用基于滤波器的重叠变换并结合本文所介绍的阈值处理算法可以有效地抑制扩频通信系统中的时变干扰。     

DSSS中MLT干扰抑制器的性能分析

本文从窗函数角度阐明调制型重叠变换(MLT)在频谱泄漏水平、频率分辨率方面优于离散傅立叶变换(DFT).然后研究了 MLT干扰抑制器对直接序列扩频(DSSS)中两类平稳窄带干扰(NBI)--高斯窄带干扰和单音干扰的抑制性能.理论分析与仿真结果表明MLT干扰抑制器能更有效地抑制平稳窄带干扰,显著改善DSSS系统性能.     

一种基于重叠变换域的抗窄带干扰算法

为了增强扩频系统的窄带干扰抑制能力,针对重叠域中值滤波(MF)算法会给信号带来失真的缺点,提出一种基于重叠变换域窄带干扰抑制算法.该算法基于直接序列扩频信号在重叠变换域的特点,利用阈值滤波、中值滤波、估计门限进行综合判决.仿真表明:该算法能有效降低信号干扰能量,同时减少中值滤波算法对信号造成的失真,增强了系统性能和鲁棒性.     

GST时频滤波SAR射频干扰抑制算法

空间中存在的射频干扰（Radio Frequency Interference,RFI）会污染合成孔径雷达（Synthetic Aperture Radar,SAR）的回波数据,进而影响成像质量以及基于图像的应用。本文针对RFI的特点,提出了一种基于广义S变换（Generalized S Transform,GST）时频滤波的干扰抑制算法。该算法首先利用配对样本T检验对存在干扰的回波数据进行检测并标记,然后对被标记的回波数据的实部与虚部分别进行处理：将数据变换到广义S变换域,逐条对时间窗内的数据进行子空间滤波完成干扰抑制,接着把干扰抑制后的数据反变换到时域并与未标记信号组成新的纯净回波数据集,最后利用成像算法进行成像处理得到清晰的SAR图像。所提出算法可以在有效抑制SAR数据中射频干扰的同时,减少处理过程中有用信号的损失,实验结果验证了算法的有效性。     

基于M/2点FFT的MLT快速算法及其FPGA实现

传统的基于DSP(数字信号处理器)实现的MLT(调制重叠变换)由于DSP的特点在速度上已经不能满足实际系统的要求,而随着FPGA(现场可编程门阵列)技术的发展,使得基于FPGA的MLT高速处理成为可能。基于FPGA的特点,选用了M/2点FFT(快速傅里叶变换)实现MLT快速算法,并对其进行了修正,采用并行处理和流水线技术,完成了此快速算法的FPGA硬件设计。仿真结果表明,设计满足了信号实时处理的要求,大大提高了信号的处理速度。     

基于变换域选择的干扰抑制技术

在无线通信系统中存在各式各样的干扰,尤其在军事通信中。不同类型干扰信号在时／频域具有不同的信号特征。现有的干扰抑制算法都是在特定域上进行干扰抑制。研究了一种基于变换域选择的干扰抑制算法,并提出了一种改进的度量选择算法,该算法可以有效地选择最佳变换域去抑制干扰。这种算法简单、且容易实现,复杂度也比较低。仿真结果表明这种算法对于抑制不同的干扰有较好的性能。     

一种基于变换域LMS的多用户检测算法

LMS算法收敛速度由输入自相关矩阵特征值的发散程度决定,很多场合下收敛速度慢不能满足需求。变换域自正交LMS算法在变换域对输入信号做正交处理,使得输入自相关矩阵变成单位矩阵,能够有效地提高收敛速度。研究了基于变换域LMS的多用户检测算法,仿真表明该算法能够提高多用户检测器的性能。     

变换域窄带干扰检测算法研究

基于数据链的应用背景,在直接序列扩频系统下,研究了不同变换域窄带干扰检测算法的基本原理,包括基于一、二阶矩的门限算法、K谱线法、条件中值滤波法及连续均值剔除算法。通过仿真对比了不同算法的干扰检测抑制性能。仿真结果表明,在几种干扰检测算法中,连续均值剔除算法对于典型窄带干扰的检测能力最优,能够实现干扰的快速实时检测处理。     

Narrow-band interference excision in spread spectrum systems usinglapped transforms

In order to mitigate narrow-band interference in spread spectrum communications systems, novel communications receivers incorporating transform domain filtering techniques are designed. In this paper, lapped transforms are used to transform the received data signal to the transform domain wherein adaptive excision is performed. Transform domain detection algorithms, which yield bit decisions based on the remaining signal energy, are analyzed and, together with excision, are employed on a block-by-block basis to suppress single-tone and narrow-band Gaussian interference. System performance is analytically quantified in terms of the overall system bit-error rate (BER). Subsequent results are presented for a variety of channel conditions and compared to those obtained using excision algorithms based on orthonormal block transforms (Medley 1995). These results demonstrate the improved performance and increased robustness with respect to jammer frequency and bandwidth of lapped transform domain excision techniques relative to similar algorithms based on nonweighted block transforms     

DSSS系统中自适应小波包干扰抵消器

本文提出了一种DSSS系统中基于小波包变换域的自适应干扰抵消算法（AWPT）,分析了小波包变抵抵消窄带干扰和脉冲干扰的机理,提出了优化准则和相应的自适应抵消算法,通过计算机仿真研究了其抗窄带和脉冲干扰的能力,并与传统的加窗DFT干扰抵消和子带变换干扰抵消作了比较。     

Modulated Lapped Transform Domain Acoustic Echo Canceller with Double Talk Detector

A complete acoustic echo cancellation system with double talk detection capability is presented in this paper. The proposed system includes a new acoustic echo canceller (AEC) based on the modulated lapped transform (MLT) domain adaptive structure and a robust two-stage double talk detector (DTD) to cope with MLT domain AEC. The proposed AEC achieves better signal decorrelation via orthogonal MLT of size 2N× N rather than N× N square orthogonal transform such as DCT, DFT, etc. Both the input signal and the desired response are modulated lapped transformed in order to reduce the adaptation error between them so that the signal adaptation is purely operated in MLT domain. As a complementary of this, a two-stage DTD is developed to stabilize the operation of the AEC. The proposed DTD has robust algorithm structure and it allows faster switching according to the talker state change.Several simulation results with a synthetic and real speech are presented to demonstrate the performance of the proposed AEC and DTD. The proposed MLT based AEC proven to be very useful for the echo cancellation applications requiring high convergence speed and good echo attenuation. It can achieves faster convergence rate by more than twice over those of traditional DCT based AEC with an additional advantage of 10–15 dB ERLE improvement. On the other hand, a proposed two-stage DTD is shown to react quickly to both the onset and the end of the double-talk with reasonable high accuracy.     

基于自适应多门限算法的变换域窄带干扰抑制

该文分析基于门限检测的直接序列扩频通信系统变换域窄带干扰抑制技术,提出一种基于自适应多门限窄带干扰抑制算法,并对其性能进行详细分析,理论分析和数字仿真结果表明,该算法可有效抑制直扩通信系统中的窄带干扰,并且相对于传统的门限检测算法,有自适应性强,门限设计简单等优点。     

Interference suppression for ultra dense network based on compressive sensing framework

Ultra-dense network (UDN) deployment of small cells introduces novel technical challenges, one of which is that the interference levels increase considerably with the network density. This paper proposes interference suppression scheme based on compressive sensing (CS) framework for UDN. Firstly, the measurement matrix is designed by exploiting the sparsity of millimeter wave channels. CS technique is employed to transform the high dimension sparse signal into low dimension signal. Then, the interference is canceled in the compressed domain. Finally, the stagewise weak orthogonal matching pursuit (SWOMP) algorithm is used to reconstruct the useful signal after interference suppression. The analysis and simulation results demonstrate the effectiveness of the algorithm. Simulation results demonstrate that the proposed interference suppression in compressive domain yields performance gains compared to other classical interference suppression schemes. The proposed algorithm can reduce the computational complexity of interference suppression algorithm.     

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。