Adaptive cancellation of Es layer interference using auxiliary horizontal antennas

Based on a dual-polarization high-frequency wave radar system, an adaptive system using horizontal antennas for the suppression of the Es layer interference （ELI） is deseribech The data received from the horizontal antennas were correlated with the data received from the Vertically Polarized Antennas （VPAs） to estimate and cancel the interference adaptively in the VPAs. Suppressing the interference after each coherent integration time interval, about 25 dB signal-to-interference ratio is expected with the experimentally derived data.

Computer Platform Adaptive Interference Cancellation Using Higher-Order Statistics

Broadband wireless interference in a computer platform is the result of multiple dynamic electromagnetic emission sources. This interference is non-Gaussian and a receiver design based on the Gaussian assumption will yield suboptimal performance. In fact, it has a double-sided K-distribution and needs to be treated differently in the design process. When dealing with this type of interference in the presence of white Gaussian noise, traditional interference/noise cancellation schemes do not produce satisfactory results. In this paper, we present an interference mitigation method which improves BER performance. We do this by using the cross-cumulant as the criterion of goodness. Specifically, our algorithm is based on higher order statistics (HOS) and is designed to reconstruct and to cancel the interference in a recursive fashion. The algorithm is tested on both BPSK and OFDM communication environments. We compare performance in terms of BER against other cancellation methods.

Improved Space-Time Selective Interference Cancellation Scheme for CDMA Systems

Space-time selective parallel interference cancellation(ST-SPIC) is a computationally effective approach combining multiuser detection (MUD) with antenna array technology for CDMA systems. The exploitation of signal reliability is a key issue in ST-SPIC. In order to improve the reliability estimation, a pair of reliability thresholds are introduced. Then an improved selective interference cancellation algorithm is proposed to exploit the reliability accordingly. More practical space-time processing algorithms are also incorporated in the proposed ST-SPIC scheme to overcome the limitation caused by some idealised assumptions taken in the original ST-SPIC scheme. Numerical results show that the proposed ST-SPIC scheme outperforms its traditional counterpart in a CDMA microcell environment.

Hardware implementation of adaptive filter for noise cancellation using TMS320C6713

Daily, we experience the effects of audio noise, which contaminates the original information bearing signal with noise from its surrounding environment. This paper focuses on real-time hardware implementation of multi-tap adaptive noise cancellation （ANC） system by using the least mean square （LMS） algorithm on TMS320C6713 to remove undesired noise from a received signal for various audio related applications. Three different experiments are carried out by considering different audio inputs to test the efficiency of the designed ANC system. The ＇C＇ code implementation of LMS algorithm is introduced and simulated in code composer studio （CCS）, then realized on the digital signal processor （DSP） C6713. The 300 Hz, 500 Hz, 800 Hz, 1 kHz and 3 kHz of tone signals and male speech signal are used as the reference inputs to trace the noise of signal until it is eliminated. The performance of ANC system is studied in terms of convergence speed, order of the filter and signal-to-noise ratio （SNR）. The experimentam results demonstrate that the designed system shows a consider- able improvement in SNR.

Active Power Filter Based on Adaptive Detecting Approach of Harmonic Currents

The ip-iq detection method based on instantaneous inactive power theory has been applied widely in active power filter because of its good real-time. But it needs large computation, and three-phase currents are processed as integrity, thus calculation accuracy can't be ensured. Based on adaptive interference canceling theory, this paper presents a new ad- aptive detection method for harmonic current, it is a continuously regulated closed-loop system, and its operating characteristics are almost independent of the parameter variations of the elements, thus it performs better than that based on traditional theory. At last this paper provides the simulation of active power filter including the detecting cir-cuit which proved the design is feasible and correct.

Digital and analog hybrid control in adaptive interference cancellation system

The digital proportion control is introduced to improve the performance of the analog adaptive interference cancellation system （ICS）. For the high frequency parts of the signals after multiplier are not required,the sampling frequency need not satisfy the sampling theorem for high frequency. Because the sampling,calculation and output expend time in digital control,the ideal condition,delay condition and delay-wait condition are taken into account. Through analyzing the system model with three conditions,we gain the stable conditions of the system,the optimization step factors that can make the system converge fastest and the formulas of the interference cancellation ratios （ICRs）. One step convergence can be accomplished under ideal condition,whereas the system can not converge in one step under delay condition and delay-wait condition. The calculation results show the convergence speed of delay-wait condition is slower than that of delay condition. The ICR is improved with the increase of the step factor which is in stable bound,but the convergence speed is decreased if the step factor exceeds the optimization step factor. In order to avoid that confine,the method of amending the steady state weight to improve the ICR is proposed. The analyses are in agreement with the computer simulations.

基于AGC的自适应干扰对消系统性能分析

首先,提出了一种基于自动增益控制(automatic gain control,AGC)技术的自适应干扰对消系统,并对该对消系统进行了建模与理论分析;然后,研究了AGC对消系统的收敛时间、干扰对消比和有用信号损耗特性,并分析了零漂对系统性能的影响。分析结果表明:使用该对消系统可有效降低零漂对系统性能的影响;在干扰信号功率较小时,也可得到较高的干扰对消比和较快的收敛速度。实验结果也验证了理论分析的正确性和AGC技术的有效性。

基于自适应噪声抵消的CZ单晶炉炉膛温度信号处理

为滤除CZ单晶炉炉膛温度信号在单晶生长过程中存在的低频干扰,提出一种基于噪声抵消技术的滤波方法.首先利用傅立叶级数构造出低频干扰的逼近信号,然后根据炉温信号的缓变特征建立能够获取低频干扰逼近信号的抵消器误差函数,最后利用一种改进的粒子群优化算法优化误差函数获得低频干扰的逼近信号,并用该逼近信号抵消低频干扰.实验结果表明,所提出的自适应噪声抵消滤波算法能够有效滤除CZ单晶炉炉膛温度信号中的低频干扰,并优于常用的滤波方法.

C-RAN架构中适用于干扰消除的资源分配机制

针对在C-RAN(Clean-Radio Access Network)架构无线网络中的干扰消除机制会带来背景噪声放大的问题,利用C-RAN架构网络的集中式处理,从而可以对全网络系统求解干扰。在定义网络背景噪声放大因子的基础上,将网络中背景噪声放大的最小化问题建立为以资源分配集合为可行空间、以最小化背景噪声放大因子为目标函数的最优化数学模型,并给出了利用遗传算法进行求解的方法,在此基础上设计了资源分配的机制。对该机制的仿真结果表明:将此机制应用到CRAN构架网络中,能有效降低误码率,提升网络中用户公平性和吞吐量。

基于高阶统计量的L-DACS1系统自适应干扰消除技术研究

针对L-DACS1(L-band Digital Aeronautical Communication System Type 1)与DME(Distance Measuring Equipment)信号在时域、频域和低阶统计域干扰抑制不理想的问题,本文将L-DACS1与DME时频域交叠的干扰场景建模为确定性信号叠加高斯有色噪声的干扰量化模型,根据两者在高阶统计域的差异特性,提出基于三阶累积量的自适应滤波算法,并引入对数螺线函数改进变步长机制,实现自适应DME干扰消除.仿真结果表明:所提算法具有更高的干扰抑制比和更低的误比特率,但复杂度较高.相关结论可为L-DACS1系统的实际部署提供参考.

基于复数ICA的无线直放站反馈干扰抵消算法

为了利用自适应滤波器抵消转发与接收天线间的反馈干扰,根据卷积型混合与独立分量分析ICA解混的原理,将反馈干扰抵消问题纳入了ICA方法的框架中。针对亚高斯复值信号的特点,依据极小化互信息的准则,提出了一种基于复数ICA的自适应算法,简要分析了算法收敛的平衡点并据此给出了新的干扰抵消器的结构。计算机仿真结果表明,相比于LMS算法,所提的算法在反馈信道辨识误差以及输出信号的误差矢量幅度方面有明显的改善。

PRC-CW雷达近距离目标干扰的自适应对消

为提高伪随机码连续波(PRC-CW)雷达性能,讨论了近距离目标干扰抑制方法。在分析了PRC-CW雷达近距离目标干扰信号的基础上,采用了基于最小均方(LMS)算法的自适应对消技术;通过仿真分析合理选择了LMS自适应滤波器的参数,并采用TI公司的TMS320C5402定点DSP芯片实现了自适应对消器。试验结果表明该对消器能抑制近距离目标干扰。

基于双通道接收的干扰对消性能分析

为了探究在工程实现中卫星通信地球站使用干扰对消抵抗来自空中平台或周边干扰的可行性,对不同接收环境下的干扰对消性能进行了分析。首先,在假定2个通道中干扰差异被准确估计并补偿的情况下,推导出理论性能的近似计算公式;然后,采用最小均方(least mean square, LMS)自适应滤波器对2个通道干扰的差异进行补偿,完成干扰对消;最后,通过仿真实验对使用LMS自适应滤波器的干扰对消进行验证。结果表明:干扰对消的理论性能在卫星信号与干扰入射夹角大于15°时信噪比恶化可以接近0 dB,而夹角小于15°时信噪比恶化程度明显提高;除了入射夹角的影响外,采用LMS自适应滤波器的干扰对消性能还受算法参数、干扰大小等其他因素的影响,对于固定频点的干扰,在入射夹角大于4°且主通道干信比小于30 dB时,干扰对消后信噪比恶化小于0.6 dB,而且这一结果基本不受采样率的影响。所提出的理论性能近似计算公式可以为干扰对消算法的性能评价提供参考,采用LMS自适应滤波器的干扰对消在算法参数设置合理的情况下可以接近理论性能。

基于apFFT的罗兰-C窄带干扰频域抑制方法

针对现有罗兰-C接收机普遍采用固定陷波电路抑制窄带干扰的情况,提出了基于全相位谱分析(apFFT)的频域精确自适应陷波罗兰-C窄带干扰抑制方法,设计了基于双相移组合全相位法的FIR频域陷波器。在对窄带干扰进行精确谱分析的基础上,设计相应频点的陷波器对多个窄带干扰进行抑制。基于MATLAB的仿真结果表明:该方法能够根据罗兰-C窄带干扰频率的变化,实现频点任意控制的频域自适应陷波,有效恢复出罗兰-C信号,为增强型罗兰-C接收机的设计提供了一种简单有效的窄带干扰抑制方法。

基于AIC技术的舰载天线共址耦合干扰抑制方法研究

天线间的共址耦合干扰是一种常见的舰船电磁干扰问题,严重影响了舰船总体作战性能的提高。本文提出了采用自适应干扰抵消技术解决此问题的方法,分析了其基本原理,给出了干扰抵消系统的实现方案以及实验室验证结果。该技术利用矢量合成的方法调整取样信号的幅度与相位,在接收端与干扰信号合成从而相互抵消。结果表明,自适应干扰抵消系统使干扰抵消比达到40 dB以上,可以很好地解决舰载天线间的共址耦合干扰问题。

基于DSP的FMCW雷达泄漏对消系统分析

对于单天线FMCW雷达系统,由于它利用一个天线去发射和接收信号,大功率的发射信号会泄露的接收支路,首先,强泄露信号会使接收机前端的低噪声放大器饱和,其次,发射机噪声泄露的接收机将引起接收机灵敏度下降,最后,强的泄露会造成接收机产生虚假目标。针对这一问题本文提出了一种基于DSP的自适应射频对消系统,并分析了系统中可能存在的问题,最后进行了系统中数字部分的算法仿真证明了理论分析的正确性。

一种阵列天线与干扰抵消技术相结合的宽带CDMA接收机

提出了一种自适应阵列天线与干扰抵消技术相结合的DS CDMA接收机,通过改进的并行干扰抵消技术,对阵列天线合成后"峰指"信号中的多址干扰信号作进一步的消除或抑制.通过理论分析和仿真,验证这种接收机在Rayleigh衰落信道下,较单独使用阵列天线接收或并行干扰抵消技术,具有更好的接收性能.

一种基于FCGA的GPS自适应抗干扰算法

针对GPS卫星信号功率微弱易受干扰的特点,提出了一种基于浮点数编码遗传算法(Floating point number Coded Genetic Algorithm,FCGA)的GPS自适应抗干扰算法。首先分析了自适应阵的输出信号,给出了自适应阵方向图与加权矢量的关系式。然后根据线性约束最小方差准则,得到了一个有约束的多参量目标函数,并采用浮点数编码遗传算法对其进行了优化。最后为了验证该算法的有效性,以22单元改进的均匀圆形阵为研究对象,分别对自适应阵的方向图和输出信号干扰噪声比(SINR)进行了计算机仿真。结果证明,该方法能够在多个期望信号方向保持较高波束增益,同时在干扰信号方向形成很深的波束凹陷。在强干扰情况下,输出信号干扰噪声比SINR能够保持在定值附近,而不随着输入干扰功率的增加而降低,达到了抑制干扰的设计目的。

使用AIC技术的接收系统抗外界噪声干扰性能

为阐明自适应干扰对消技术(AIC)对通信系统抗干扰性能的改善程度,分析了使用对消装置的收发系统在实际工作条件下,外部干扰信号特别是发射机输出噪声干扰和背景环境噪声干扰对接收系统性能的影响。在此基础上,针对某型通信系统分别在模拟实验平台和实际工作平台进行了相关实验。实验数据表明:使用对消装置后,频谱仪接收到的噪声功率在远离干扰频率处无明显变化,在干扰频率附近则有显著降低,由此验证了理论分析的正确性。

面向海战场综合通感系统的窄带干扰抑制算法

本文构建了一个集成的通信和感知系统,该系统具有感知目标并与用户通信的能力,并针对雷达探测性能和通信性能的平衡进行了优化。在海战场通信环境中,信号在传输过程中经常受到窄带干扰的影响,对通信质量造成很大损害。针对这一问题,本文设计了一套结合综合通信感知系统的窄带干扰抑制算法。该算法对经典阈值算法进行改进,实现阈值自适应。最后通过仿真说明了窄带干扰的危害以及去除窄带干扰的必要性,将窄带干扰下信号的误码率与本算法处理的信号进行比较,证明算法的有效性,将该算法与传统算法进行对比,证明了算法性能的提高。