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Unsupervised robust adaptive filtering against impulsive noise

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Journal of Systems Engineering and Electronics 2012年第1期23卷 32-39页

作者： Tao Ma Jie Chen Wenjie Chen Zhihong Peng School of Automation Beijing Institute of Technology Beijing 100081 R R. China Key Laboratory of Complex System Intelligent Control and Decision （Ministry of Education） Beijing Institute of Technology Beijing 100081 P. R. China

An implementation of adaptive filtering, composed of an unsupervised adaptive filter （UAF）, a multi-step forward linear predictor （FLP）, and an unsupervised multi-step adaptive predictor （UMAP）, is built for suppressing impulsive noise in unknown circumstances. This filtering scheme, called unsupervised robust adaptive filter （URAF）, possesses a switching structure, which ensures the robustness against impulsive noise. The FLP is used to detect the possible impulsive noise added to the signal, if the signal is ＂impulse-free＂, the filter UAF can estimate the clean sig- nal. If there exists impulsive noise, the impulse corrupted samples are replaced by predicted ones from the FLP, and then the UMAP estimates the clean signal. Both the simulation and experimental results show that the URAF has a better rate of convergence than the most recent universal filter, and is effective to restrict large disturbance like impulsive noise when the universal filter fails.

关键词： adaptive filtering unsupervised form impulse insen- sitive switching structure.

adaptive filtering algorithm to GPS/INS integrated system

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Adaptive filtering algorithm to GPS/INS integrated system

DOA Estimation Algorithm Based on adaptive filtering in Spatial Domain

International Conference on Info-Tech and Info-Net (ICII 2001)

作者： Feng, WJ Yang, SZ Zhao, F Chongqing Univ Inst Commun Chongqing 400044 Peoples R China

ISBN: (纸本)7900081585

GPS/INS integrated systems have applications in the self-positioning of the high dynamic targets. This paper conceives state equations and observation equations by the integrated system and GPS observation, respectively. An adaptive filtering algorithm is introduced which estimates observation noise covariance with observation data, and estimates dynamic noise covariance by use of Sage-Husa filtering algorithm which has faster convergent speed and better stability than the conventional Kalman filtering algorithm At last, simulations are given to verify the effectiveness of the algorithm.

关键词： GPS/INS integrated adaptive filtering Kalman filtering

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China Communications 2016年第12期13卷 49-58页

作者： Hao Zeng Zeeshan Ahmad Jianwen Zhou Qiushi Wang Ya Wang School of Communication Engineering Chongqing University

In this paper, a novel DOA estimation methodology based upon the technology of adaptive nulling antenna is proposed. Initially, the nulling antenna obtains the weight vector by LMS algorithm and power inversion ***, reciprocal of the antenna pattern is defined as the spatial spectrum and the extracted peak values are corresponded to the estimated DOA. Through observation of the spectrum and data analysis of variable steps and SNRs, the simulation results demonstrate that the proposed method can estimate DOA above board. Furthermore, the estimation error of the proposed technique is directly proportional to step size and is inversely proportional to SNR. Unlike the existing MUSIC algorithm, the proposed algorithm has less computational complexity as it eliminates the need of estimating the number of signals and the eigenvalue decomposition of covariance matrix. Also it outperforms MUSIC algorithm, the recently proposed MUSIC-Like algorithm and classical methods by achieving better resolution with narrow width of peaks.

关键词： DOA estimation adaptive filtering power inversion array signal processing

Convergence and error bounds of adaptive filtering under model structure and regressor uncertainties

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控制理论与应用（英文版） 2012年第2期10卷 144-151页

作者： Ben G. FITZPATRICK Tempest Technologies 8939 South Sepulveda Boulevard Suite 506 Los AngelesCA 90045U.S.A. Department of Mathematics Loyola Marymount UniversityLos AngelesCA 90045U.S.A.

adaptive filtering algorithms are investigated when system models are subject to model structure errors and regressor signal perturbations. System models for practical applications are often approximations of high-order or nonlinear systems, introducing model structure uncertainties. Measurement and actuation errors cause signal perturbations, which in turn lead to uncertainties in regressors of adaptive filtering algorithms. Employing ordinary differential equation （ODE） methodologies, we show that convergence properties and estimation bias can be characterized by certain differential inclusions. Conditions to ensure algorithm convergence and bounds on estimation bias are derived. These findings yield better understanding of the robustness of adaptive algorithms against structural and signal uncertainties.

关键词： adaptive filtering Structural uncertainties Robustness Estimation bias

An ISS-OFDM based adaptive filtering mechanism for interference suppression in wireless multi-hop communication network

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High Technology Letters 2014年第3期20卷 230-236页

作者：秦丹阳 Ma Lin Xu Renheng Ding Qun Key Laboratory of Electronics Engineering Heilongjiang University Communication Research Center Harbin Institute of Technology Harbin Research Institute of Electrical Instruments

The negative impact on communication performance in wireless multi-hop communication net-work caused by limited bandwidth,high bit eror rate （BER）,fading,noise and interference is alleviated by an adaptive filtering game based on frequency subbands selection and predetemined *** threshold is being obtained in Gaussian and multipath fading channel according to the frequency-matching principle and BER *** dynamic selection of subbands will obtain high use efficiency without the help of frequency hopping,and propound a new thought to improve band limited communication for wireless multi-hop communication *** effectiveness of the adaptive filtering method has been verified by interleaving spread spectrum orthogonal frequency division multiplexing （ISS-OFDM） in different interference conditions,and the simulating results based on network simulator 2 （NS2） indicate that system BER can be improved greatly.

关键词： multi-hop communication adaptive filtering interleaving spread spectrum orthogonal frequency division multiplexing (ISS-OFDM) interference suppression

A new improvement of TCP based on adaptive filtering

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High Technology Letters 2012年第1期18卷 59-63页

作者： Li Guodong Zhao Na Jiao Dujuan Zhang Yingjie Liu Chang＇an School of Control and Computer Engineering North China Electric Power University Beijing 102206 P.R. China National Science Library Chinese Academy of Sciences Beijing 100190 P.R. China

On the basis of studying the standard TCP retransmission mechanism, this paper proposes a method to adopt the theory of adaptive filtering in the field for the estimation of round trip time （RTT）. Then this method is embedded in TCP for estimation of RTT, and defined as RTT-AF TCP. In the schemes with Only-TCP flow and with TCP and UDP flow fighting for the link, the experiment results were made and analyzed by using the standard TCP and the RTT-AF TCP. The experimental results show higher throughput and lower loss rate of packets by using RTT-AF TCP for data transmission, and achieve excellent effect.

关键词： roundtrip time (RTT) adaptive filtering RTT-AF transmission control protocol(TCP)

A new adaptive filtering algorithm for systems with multiplicative noise

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Journal of Harbin Institute of Technology(New Series) 2005年第1期12卷 71-73页

作者：王会立陈希信吕钱浩 Dept. of Fundamental Discipline Harbin Commercial University Harbin 150076 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin 150001China

Presented here is a new adaptive state filtering algorithm for systems with multiplicative noise. This algorithm estimates the vector state of the system and the statistics of noise when all the statistics of noise are unknown. This filtering algorithm is a simple recursive structure. A simulation example is presented which demonstrates the effectiveness of this filtering algorithm.

关键词： system with multiplicative noise adaptive filtering statistics of noise

Research on PPP/INS Algorithm Based on Sequential Sage-Husa adaptive filtering

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Research on PPP/INS Algorithm Based on Sequential Sage-Husa ...

adaptive filtering Design for In-Motion Alignment of INS 26th

第十三届中国卫星导航年会

作者： Zhaoxin Xu Haoran Song Sixiang Cheng Nan Zang College of Intelligent Systems Science and Engineering Harbin Engineering University

In the complex urban environment, the satellite navigation signal is polluted by gross errors due to external factors such as signal reflection, signal occlusion, signal electromagnetic. These factions cause the error of the satellite prior measurement noise random model based on satellite elevation angle in PPP/INS tight integrated navigation. In the traditional gross error detection method, the improper setting of the empirical threshold causes the traditional gross error detection algorithm to be insensitive to the small gross error of the measured value, which reduces the accuracy of the tight integrated navigation solution. In this paper, the sequential Sage-Husa adaptive filtering algorithm, combined with the upper and lower bounds of the measurement noise variance technology, effectively improves the non-positive definite problem of the measurement noise matrix, and guarantees the stability of the adaptive filtering algorithm. The algorithm estimates the filter adaptive factor in real time based on the measurement residual, and combining with the random model of satellite elevation angle, and the satellite elevation angle random model deviation caused by small pseudo range gross error is corrected in real time through the adaptive factor. Finally, the experiments show that when there are small gross errors in pseudo range observations,this algorithm is 2.7% higher than that of the traditional satellite elevation angle random model, the position accuracy is increased by 2.8%, 32.2%, 41.2%.Effectively improve the accuracy of the PPP/INS tight integrated navigation system in the complex urban environment.

关键词： PPP/INS tight integrated navigation Small pseudo range gross error Sequential processing adaptive filtering

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Adaptive Filtering Design for In-Motion Alignment of INS