Adaptive LMS filters for cellular CDMA overlay situations

This paper extends and complements previous research we have performed on the performance of nonadaptive narrowband suppression filters when used in cellular code-division multiple-access (CDMA) overlay situations. An adaptive least mean square (LMS) filter is applied to a cellular CDMA overlay in order to reject narrowband interference. An accurate expression for the steady-state tap-weight covariance matrix is derived for the real LMS algorithm for arbitrary statistics of the overlaid interference. Numerical results illustrate that when the ratio of the narrowband interference bandwidth to the spread spectrum bandwidth is small, the LMS filter is very effective in rejecting the narrowband interference. Furthermore, it is seen that the performance of the LMS filter in a CDMA overlay environment is not significantly worse than the performance of an ideal Wiener filter, assuming the LMS filter has had sufficient time to converge     

带有噪声相关性的自适应噪声抵消系统仿真研究

本文为了在语音信号处理中能消除含噪语音信号中的背景噪音,采用自适应信号处理的理论和技术来达到提高语音信号质量的目的。通过介绍自适应滤波器原理,在对自适应滤波器相关理论研究的基础上,研究了LMS自适应滤波算法,并对LMS自适应算法进行了分析。同时为了使输入的参考信号与噪声相关,加入分离周期信号与带有窄带干扰抑制的宽带信号。通过分析仿真结果表明基于LMS算法的自适应噪声抵消技术可以有效地抵消正弦干扰信号,同时加入宽带信号中的周期性噪声,在没有另外的与噪声相关的参考信号的情况下,可以使用自适应噪声抵消系统来消除这种同期性干扰噪声。     

一种基于核的GPS空时自适应抗干扰方法

针对GPS接收系统的空时自适应抗干扰技术,分析目前基于FROST阵列处理的最小均方算法LMS(FLMS)算法,提出一种基于核方法的FLMS算法(Kernel FLMS,KFLMS).通过对空时自适应STAP和算法的建模,研究了KFLMS算法的性能.系统仿真表明,KFLMS算法不仅能抑制大于阵元个数的多个宽、窄带干扰,而且使接收机整体抗干扰能力达到70dB左右,比FLMS算法效果更优.     

HOS AND GA BASED INTERFERENCE REJECTION IN DIRECT SEQUENCE SPREAD SPECTRUM COMMUNICATION SYSTEMS

A new Higher Order Statistics (OHS) and Genetic Algorithm (GA)-based inter-ference rejection filter is introduced.Compared with the adaptive filters based on second-order statistics and gradient algorithm,the HOS and GA-based filter can reject the interference more efficiently,is independent of uncorrelated Gaussian noise,tende to converge to the optimum solution and is much less sensitive to the choice of the step size parameter.Computer simulations show that the method can reject narrowband interference efficiently.     

一种稀疏重建的天波雷达射频干扰抑制算法

天波雷达工作频段通常有大量的射频干扰,严重影响了雷达探测。目前最有效的射频干扰抑制方法主要是基于相似约束的方法,其本质是在匹配滤波器上叠加一个抑制射频干扰的窄带滤波器。基于窄带滤波器稀疏特性,提出了一种稀疏约束的射频干扰抑制方法,对窄带滤波器施加稀疏性约束并加大对稀疏项的惩罚,在保证匹配滤波器效果的同时更加有效抑制干扰。该方法首先将滤波器分解为匹配滤波滤波器和窄带滤波器,然后对窄带滤波器施加稀疏约束,基于此构建一个稀疏约束的非凸优化问题。最后,提出一种低计算复杂度的交替性自适应迭代算法求解该非凸优化问题。仿真和实测数据处理结果表明,所提方法的输出信干噪比较相似约束算法提高了1 dB以上,有效地提高了射频干扰抑制性能。     

HOS AND GA BASED INTERFERENCE REJECTION IN DS SS COMMUNICATION SYSTEMS

A new interference rejection filter based on Higher Order Statistics (HOS)and Genetic Algorithm(GA) is introduced.The advantages over the adaptive filters based on second-order statistics or gradient algorithm are shown throrgh computer simulation.     

DSSS频域干扰检测方法研究

直扩信号(DSSS)由于频带较宽,会遇到各种干扰,正确地检测干扰是进行干扰抑制的关键。在深入分析频域干扰检测门限取值的基础上,针对宽带干扰情况下采用传统固定门限干扰检测方法无法准确检测出干扰的不足,给出CMA干扰检测方法。比较了CMA方法、CME方法与固定门限干扰检测方法的差别,仿真结果表明,CMA方法能够有效检测出强宽带干扰。     

一种基于分数延时滤波器的自适应对消技术的研究

针对转发式干扰机发射的干扰信号通过空间耦合对接收机造成的影响,提出了基于LMS算法的自适应对消结构,并针对宽带信号,对结构作出了调整。重点是利用可变分数延时滤波器来实现参考信号与干扰信号时间的对齐,从而达到宽带对消的效果。提出了能够实现可变分数延时滤波器的结构。通过仿真表明该对消结构能够很好地对消宽带干扰。     

CDMA通信中干扰抑制的自适应非线性LTJ滤波技术

研究一种基于LTJ结构的自适应非线性滤波器,讨论了这种滤波器在CDMA卫星通信中窄带干扰抑制方 面的应用。LTJ结构的滤波器混合采用了Lattice和LMS两种滤波器结构,结合了这两种滤波器的优点,提高了收 敛速度,同时减小了滤波器的复杂度。     

A class of order statistic LMS algorithms

Conventional gradient-based adaptive filters, as typified by the well-known LMS algorithm, use an instantaneous estimate of the error-surface gradient to update the filter coefficients. Such a strategy leaves the algorithm extremely vulnerable to impulsive interference. A class of adaptive algorithms employing order statistic filtering of the sampled gradient estimates is presented. These algorithms, dubbed order statistic least mean squares (OSLMS), are designed to facilitate adaptive filter performance close to the least squares optimum across a wide range of input environments from Gaussian to highly impulsive. Three specific OSLMS filters are defined: the median LMS, the average LMS, and the trimmed-mean LMS. The properties of these algorithms are investigated and the potential for improvement demonstrated. Finally, a general adaptive OSLMS scheme in which the nature of the order-statistic operator is also adapted in response to the statistics of the input signal is presented. It is shown that this can facilitate performance gains over a wide range of input data types     

基于复数陷波器的窄带干扰抑制研究

研究了直接序列扩频通信系统中幅值相差较大的窄带干扰抑制问题,以一阶复数自适应陷波器为陷波单元,介绍了一种级联结构的陷波器,给出了系数迭代的自适应算法和理论分析。仿真实验表明,该陷波器能有效消除多个窄带干扰,迭代算法具有良好的收敛性能。     

基于认知无线电的脉冲陷波UWB窄带干扰抑制

提出了一种基于认知无线电的自适应超宽带(UWB)窄带干扰抑制方法.为了使UWB对变化的干扰环境具有自适应调节能力,引入了认知无线电技术.通过频谱感知和认知引擎技术提取窄带干扰频谱特征作为陷波器的设计依据.以高斯脉冲为例,对陷波器的陷波性能进行检验.最后,就陷波前、后脉冲的通信性能进行比较.仿真结果表明:认知陷波脉冲具有...     

基于拉伸处理的宽带频域接收波束形成方法

为了抑制宽带干扰信号,提出了一种基于频域的宽带接收波束形成方法。该方法针对线性调频信号,在对接收信号做拉伸处理和窄带滤波之后,进行傅立叶变换划分为许多窄带,然后对不同频带的信号按窄带方法（例如采样矩阵求逆法）接收波束形成。与传统的频域方法相比,大大降低了数据率和计算量,易于工程实现;与拉伸处理波束形成方法相比,该方法能有效抑制宽带干扰,阵列输出信号干扰噪声比高。最后计算机仿真证实了新方法的有效性。     

基于中国医用体域网频段的物理层方案设计及干扰分析

该文基于中国医疗体域网的专用频段提出了采用扩频的OQPSK调制方案,并在多种干扰的背景下进行分析,仿真结果表明该方案对宽带干扰具有较好的抑制性能,但是由于接收端帧检测算法虚警率较高而对窄带干扰较为敏感。为此提出基于两次延迟自相关的帧检测算法,并验证该算法对宽带和窄带干扰都有较好的抑制性能。该文的研究成果可以为我国无线体域网标准制定提供技术参考,目前该调制方案已被IEEE802.15.4n采纳。     

MIMO-OFDM系统中一种基于自适应滤波的信道估计方法

该文提出了一种适用于MIMO-OFDM系统的基于自适应滤波器的信道估计方法,此方法在不需要任何信道统计信息的前提下,通过自适应滤波的方法对时变信道状态参数进行即时跟踪与估计。仿真结果表明该文提出的基于自适应滤波的信道估计方法,相比于不考虑噪声的基于LS算法的信道估计方法,MSE和BER性能均有很大的提高。其中基于LMS滤波器的信道估计方法具有计算复杂度小的特点;而基于RLS的信道估计方法具有收敛速度快,MSE和BER性能均优于基于LMS方法的特点。     

宽带相控阵雷达数字波束形成及干扰置零方法

宽带相控阵波束形成通常使用模拟延时线,但量化误差及硬件的高代价阻碍了它的应用。该文在基于子阵和发射为线性调频信号的前提下,提出一种宽带子阵数字波束形成方法。该方法首先对接收信号拉伸处理和低通滤波,然后在子阵间加权实现宽带子阵数字波束形成。低通滤波后的数字采样和信号处理均可在低的速率下进行,大大降低了运算量且容易实现。此外,宽带干扰的存在会严重影响一维距离像的性能,为了抑制宽带强干扰信号,在上述数字波束形成的基础上,提出了一种宽带干扰置零方法。该方法在强宽带干扰功率的情况下仍可很好地工作。最后,对测距误差和子阵栅瓣的影响进行分析并仿真证实了该方法的有效性。     

Fast-converging minimum frequency error RLS lattice filter for narrowband interference with discrete frequency steps

This paper discusses the fundamental convergence and frequency tracking properties of the recursive-least-squares (RLS) lattice filter in the presence of narrowband interference (NBI) whose frequency varies in discrete steps. It is shown for filters of this type, that the residual forward energy (RFE) after a frequency transition is a function of the input signal-to-noise ratio (SNR), separation of the sequential frequencies and the filter time constant and is exponentially decaying in nature. Reducing the RFE is important in removing unwanted transient artefacts from the desired signal. The convergence behaviour of the RLS algorithm based on a posteriori estimation errors is analysed under a number of conditions by varying the SNR and frequency step size. In order to limit the impact of the RFE while maintaining a minimum frequency tracking error in steady conditions, a fast-converging minimum frequency error (FCMFE) RLS lattice filter is suggested. For comparison, a least-mean-square (LMS) based gradient-adaptive lattice (GAL) filter is also analysed for this class of narrowband interference.     

导航卫星接收机窄带干扰抑制算法研究

在GNSS服务过程中,地面接收到的卫星导航信号的功率较小,且易受到周围复杂电磁干扰影响,这将会导致卫星无法正常定位。针对常见的窄带干扰,介绍一种新型自适应全通IIR陷波器,自适应算法采用高斯-牛顿迭代法,通过跟踪窄带干扰频点,对其频点进行陷波。文中在其基础上进行改进,在每次迭代过程中采用最佳收敛因子,最大程度地减少均方误差。这种算法可导致更快的收敛速度和更高的估计精度。仿真结果表明,IIR滤波器可有效去除高达70 dB的窄带干扰。     

A new delayless subband adaptive filter structure

Adaptive subband techniques have been developed to reduce complexity and slow convergence problems of the traditional fullband high-order adaptive filters. Some of the disadvantages often encountered in most of the proposed architectures are the effect of aliasing associated with the multirate structure, which is a source of error in the modeling of the unknown system, and the delay introduced in the signal path. We present a new delayless maximally decimated structure where the optimal subband filters are related to the wideband system in a closed form. They make use of a special DFT analysis filterbank where the polyphase components of the prototype filter represent fractional delays so that there is no need for adaptive cross-filters, and the unknown system can modeled perfectly in a closed-loop scheme. We interpret the proposed structure as a special case of a block adaptive filter with lower computational complexity than the conventional fullband LMS algorithm. Some computer simulations are presented in order to verify the good features of the proposed structure     

Nonlinear techniques for interference suppression inspread-spectrum systems

The binary nature of direct-sequence signals is exploited to obtain nonlinear filters that outperform the linear filters hitherto used for this purpose. The case of a Gaussian interferer with known autoregressive parameters is considered. Using simulations, it is shown that an approximate conditional mean (ACM) filter of the Masreliez type performs significantly better than the optimum linear (Kalman-Bucy) filter. For the case of interferers with unknown parameters, the nature of the nonlinearity in the ACM filter is used to obtain an adaptive filtering algorithm that is identical to the linear transversal filter except that the previous prediction errors are transformed nonlinearly before being incorporated into the linear prediction. Two versions of this filter are considered: one in which the filter coefficients are updated using the Widrow LMS algorithm, and another in which the coefficients are updated using an approximate gradient algorithm. Simulations indicate that the nonlinear filter with LMS updates performs substantially better than the linear filter for both narrowband Gaussian and single-tone interferers, whereas the gradient algorithm gives slightly better performance for Gaussian interferers but is rather ineffective in suppressing a sinusoidal interferer