直扩系统中IIR格型滤波器抑制窄带干扰新方法与性能分析

该文提出一种直扩系统中基于IIR格型陷波器时域频域相结合的窄带干扰抑制新方法,该方法采用时域频域并行处理的结构,通过最优加窗和频谱校正技术在频域精确估计出干扰信号的频率,根据频率估计误差和干信比求出最优陷波带宽,由此自适应地调整时域IIR格型陷波器的参数。分析和实验表明,该方法较传统的自适应IIR窄带干扰抑制方法不仅具有更高的稳定性和实时性,而且在干扰得到有效抑制的情况下使有用信号的损失达到最小。     

可用于DSSS系统时变干扰抑制的IIR滤波器设计

在理想的干扰瞬时频率估计条件下,推导Kwan-Martin结构IIR干扰抑制滤波器相关输出信干噪比改善因子的闭合表达式。与五系数时变FIR滤波器干扰抑制性能比较表明,IIR滤波器对DSSS信号的失真远小于FIR滤波器,信干噪比改善因子与干扰瞬时频率及系统扩展比无关,干扰抑制性能优于时变FIR滤波结构。     

GNSS接收机窄带干扰陷波抑制研究

在GNSS服务过程中,由于卫星与用户之间的距离非常远,地面接收到的卫星导航信号的功率非常小,而用户接收机所处环境是复杂的电磁干扰环境,所以导航信号会受到各种各样的干扰的影响。因此如何减小这些干扰对接收机的影响成为当前卫星导航领域的一个重要发展方向。现代应用中的直接型IIR陷波器、格型IIR陷波器以及改进形式对信号进行时域窄带干扰陷波抑制,可以从理论上分析并实现仿真得出这种方法的可行性。     

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。     

基于IIR滤波器的窄带干扰抑制技术仿真与实现

研究了直扩通信中二阶自适应格型IIR陷波滤波器在抗窄带干扰中的应用,推导了系统信噪比改善因子和误比特率的闭合表达式,分析了算法的性能,并进行了MATLAB仿真。基础上,设计了FPGA可实现的自适应解扩重扩滤波器,该滤波器实现简单,硬件测试表明,滤波器达到了预期的性能指标,有效可抗窄带干扰在大约21dB。     

基于IIR开环滤波的导航接收窄带滤波器设计

针对快变场景中的卫星导航接收窄带干扰抑制问题,结合自适应滤波原理,提出了一种基于开环滤波的自适应陷波器设计方法,实现了导航接收系统中的窄带干扰自适应抑制,解决传统时域滤波器计算量大或收敛速度慢的问题。仿真结果表明,该算法比最优维纳滤波器的运算量低,相比LMS算法收敛速度快、性能好、窄带强干扰抑制能力优于30 d B。     

基于加权波束形成的STAP抗干扰改进算法

传统空时自适应处理(STAP)算法不能抑制和导航信号同一方向的窄带干扰并且输出信干噪比不理想。针对此问题,本文提出了一种结合加权波束的改进STAP抗干扰算法。这种新的算法能有效地抑制窄带和宽带干扰,并提升了输出信干噪比(SINR)。     

基于自适应IIR陷波滤波器的窄带干扰抑制技术

在存在窄带干扰时，扩频通信系统的性能可以通过使用各种不同的抗干扰滤波器来进一步提高。文中研究了二阶自适应格型IIR陷波滤波器在直扩通信中抗窄带干扰的应用，推导了系统信噪比改善因子和误比特率的闭合表达式。计算机仿真表明了该分析结果的正确性。     

降噪多天线卫星导航欺骗干扰抑制方法

由于欺骗干扰比真实卫星导航信号功率稍大,意味着其功率远小于压制干扰,致使多天线卫星导航接收机的阵列接收环境发生改变,无法抑制欺骗干扰。该文提出了一种能有效改善阵列接收环境,恢复多天线卫星导航欺骗干扰抑制能力的方法。该方法通过降噪预处理提高阵列接收信号的信噪比和干噪比,再使用输出功率最小准则最优化权矢量,从而实现欺骗干扰抑制。理论分析和实验结果表明,该方法能够有效抑制欺骗干扰,而且阵列输出信干噪比较高,干扰抑制后接收机捕获性能不受干扰影响。      

基于卫星导航定位系统自适应抗干扰控制

在全球卫星导航系统抗干扰问题的研究中,自适应波束形成技术很好地解决了与信号不同来向的干扰的抑制问题。但对与信号同向的窄带干扰抑制程度不够,同时会滤除部分导航信号。针对以上问题,提出了一种改进的自适应波束干扰抑制算法。首先,通过级联IIR格型陷波器预测并抑制与信号同向的窄带干扰,然后,利用基于直接数据域自适应波束形成技术抑制剩余的宽带干扰。该改进算法能够有效的滤除窄带和宽带干扰,提升卫星导航系统的抗干扰性能,并在实际卫星通信应用中更具处理的实时性。最后,通过仿真实验证明了该算法的可行性。     

Time-varying AR modeling and adaptive IIR notch filter for anti-jamming DSSS receiver

Using Time-Varying AR (TVAR) model and adaptive notch filter is a new method for the non-stationary jammer suppression in Direct Sequence Spread Spectrum (DSSS). The performance of TVAR model for Instantaneous Frequency (IF) estimation will be affected by some factors such as basis functions. Focusing on this problem, the optimal basis function of TVAR model for the IF estimation of the LFM signal is obtained in this paper. Besides the depth and width of notching, the phase properties of notch filter affect the Signal-to-Interference plus-Noise Ratio (SINR) of correlation output to the narrowband jammer suppression in DSSS, in response to the problem the closed solution of correlation output SINR improvement has been derived when a single frequency jammer passes through direct IIR notch filter, and its performance has been compared with those of five coefficient FIR filters. Later, a novel method for LFM jammer suppression based on Fourier basis TVAR model and direct IIR notch filter is proposed. The simulation results show the effectiveness of the proposed method.     

针对窄带干扰抑制的数字陷波器设计

现代扩频技术中,由于带宽和技术方面限制了扩频处理增益,使得固有的抗干扰性能得不到更好发展,因此设计滤波器抑制窄带干扰是信息处理的关键技术之一。在分析一般2阶IIR陷波器设计方法的基础上,提出一种新颖的数字外差滤波器,其思想来源于通信系统中的调制解调,在结构和算法上不同于一般处理技术,而且能控制馅波深度和宽度这样的参数。从理论推导及仿真试验都可以看出,这种滤波器系统稳定、灵敏度高,能够较好地滤除窄带干扰的影响。     

Adaptive notch filter design under multiple identical bandwidths

Digital notch filters are applied to remove or suppress the narrow-band interferences in digital signals, while preserving other components unchanged. Under the condition of the identical notch bandwidths, a novel design method is put forward in this paper to realize the adaptive notch filter with infinite-impulse response (IIR). Firstly, a specially simplified all-pass filter is introduced to construct an IIR non-adaptive notch filter, which serves as the core part in the adaptive one. Secondly, the criterion of least-mean-square (LMS) is applied to design the desired adaptive notch filter (ANF). The designed ANF can track and suppress multiple non-harmonic interference components simultaneously. Finally, the effectiveness and practicability of the proposed design method are verified by a set of experimental results.     

Complex notch filter design using allpass filter

Complex coefficient IIR notch filter design problems are investigated. The specification of a notch filter is first transformed into that of an allpass filter. An effective approach to the design of this desired allpass filter is developed. The realisation of the proposed notch filter is equivalent to the realisation of an allpass filter. Owing to the mirror-image symmetry relation between the numerator and denominator polynomials of allpass filters, the notch filter can be realised by a computationally efficient lattice structure with very low sensitivity     

直接扩频序列系统中IIR格型自适应滤波抗多窄带干扰

介绍了一种直接扩频系统中抗多个窄带干扰的多支路自适应IIR陷波滤波算法。通过频率分离 ,在各个支路通过谱线增强器估计干扰的瞬时频率和功率 ,减少了输入信号特征值扩散程度 ,加快了自适应算法收敛速度。采用一种IIR自适应格型陷波滤波技术 ,调整陷波器的深度 ,提高了输出信号信噪比。     

Adaptive digital notch filter design on the unit circle for theremoval of powerline noise from biomedical signals

Investigates adaptive digital notch filters for the elimination of powerline noise from biomedical signals. Since the distribution of the frequency variation of the powerline noise may or may not be centered at 60 Hz. Three different adaptive digital notch filters are considered. For the first case, an adaptive FIR second-order digital notch filter is designed to track the center frequency variation. For the second case, the zeroes of an adaptive IIR second-order digital notch filter are fixed on the unit circle and the poles are adapted to find an optimum bandwidth to eliminate the noise to a pre-defined attenuation level. In the third case, both the poles and zeroes of the adaptive IIR second-order filter are adapted to track the center frequency variation within an optimum bandwidth. The adaptive process is considerably simplified by designing the notch filters by pole-zero placement on the unit circle using some suggested rules. A constrained least mean-squared algorithm is used for the adaptive process. To evaluate their performance, the three adaptive notch filters are applied to a powerline noise sample and to a noisy EEG as an illustration of a biomedical signal     

Design of three-dimensional adaptive IIR notch filters

This paper investigates a realization of a three-dimensional (3-D) adaptive notch filter. The procedures are mainly divided into two parts: frequency-detecting and sinusoidal interference removal. The detections are based on adaptive line enhancer on infinite impulse response (IIR) lattice structure. In the interference removal part, a non-separable version of a 3-D notch filter is effectively applied. The magnitude response of a 3-D adaptive IIR notch filter is illustrated. At the end of the paper, the implementation of an IIR notch filter on a 3-D image is also conducted in order to show how to remove a sinusoidal interference superimposed on a 3-D image.     

Synthesis of grating lattice circuits

The realization of high-performance components based on optical infinite impulse response (IIR) filter design theory is desirable for next-generation global optical networks. Previously proposed IIR filter synthesis methods are matrix factorization techniques for a lattice circuit using ring resonators. The size of ring resonator limits the bandwidth of the lattice filters. In this paper, two configurations of grating lattice filters are synthesized by using a scattering matrix representation for the grating. The grating is one of the most powerful optical elements both in fiber optics and photonic integrated circuits. One configuration is a serial grating lattice filter configuration and the other is a parallel grating lattice filter configuration. The actual frequency response of the synthesized grating lattice filter is calculated to show the design limitation due to the frequency response of the element gratings