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Fractional Processing Based adaptive beamforming Algorithm

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Computers, Materials & Continua 2023年第7期76卷 1065-1084页

作者： Syed Asghar Ali Shah Tariqullah Jan Syed Muslim Shah Ruhul Amin Khalil Ahmad Sawalmeh Muhammad Anan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science Northern Border UniversityArar91431Saudi Arabia Department of Software Engineering Alfaisal UniversityRiyadh11533Saudi Arabia

Fractional order algorithms have shown promising results in various signal processing applications due to their ability to improve performance without significantly increasing *** goal of this work is to inves-tigate the use of fractional order algorithm in the field of adaptive beam-forming,with a focus on improving performance while keeping complexity *** effectiveness of the algorithm will be studied and evaluated in this *** this paper,a fractional order least mean square(FLMS)algorithm is proposed for adaptive beamforming in wireless applications for effective utilization of *** algorithm aims to improve upon existing beam-forming algorithms,which are inefficient in performance,by offering faster convergence,better accuracy,and comparable computational *** FLMS algorithm uses fractional order gradient in addition to the standard ordered gradient in weight *** derivation of the algorithm is provided and supported by mathematical convergence *** is evaluated through simulations using mean square error(MSE)minimization as a metric and compared with the standard LMS algorithm for various *** results,obtained through Matlab simulations,show that the FLMS algorithm outperforms the standard LMS in terms of convergence speed,beampattern accuracy and scatter *** outperforms LMS in terms of convergence speed by 34%.From this,it can be concluded that FLMS is a better candidate for adaptive beamforming and other signal processing applications.

关键词： adaptive beamforming adaptive array fractional processing least mean square fractional least mean square

Combined adaptive beamforming with space-time block coding for multi-antenna communications

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Science in China(Series F) 2008年第12期51卷 2062-2073页

作者： LIN Min LI Min YANG LuXi LI Bin School of Information Science and Engineering Southeast University Nanjing 210096 China Nanjing Institute of Telecommunication Technology Nanjing 210007 China Huawei Technologies Co. Ltd. Shenzhen 518129 China

Aiming at the multi-antenna communication systems, a downlink transmit scheme combining adaptive beamforming （ABF） with space-time block coding （STBC） is first presented, which utilizes the maximization of the output mean signal-to-noise ratio （SNR） and the minimization of the symbol error rate （SER） upper bound of the three widely used modulations as the design criteria. Then, based on the moment generating function （MGF） and the Gauss-Chebyshev integration, a simple and accurate numerical method is presented to analyze the SER performance of the system with the new transmit scheme under the three commonly used modulations. Finally, computer simulation results demonstrate the effectiveness and superiority of the proposed strategy.

关键词： adaptive beamforming space-time block coding transmit scheme multi-antenna communication

Method of combining space-time block coding with adaptive beamforming

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Journal of Southeast University(English Edition) 2005年第3期21卷 254-259页

作者：沈克勤解放军理工大学指挥自动化学院南京210007

A method of space-time block coding （STBC） system based on adaptive beamforming of cyclostationarity signal algorithm is *** method uses cyclostationarity of signals to achieve adaptive beamforming,then constructs a pair of low correlated transmit beams based on beamform estimation of multiple component signals of *** these two selected transmit beams,signals encoded by STBC are transmitted to achieve diversity gain and beamforming gain at the same time,and increase the signal to noise ratio （SNR） of *** simple computation and fast convergence performance,the proposed scheme is applicable for time division multiple access （TDMA） wireless communication operated in a complex interference *** results show that the proposed scheme has better performance than conventional STBC,and can obtain a gain of about 5 dB when the bit error ratio （BER） is 10-4.

关键词： space-time coding gain adaptive beamforming cyclostationary signal transmit diversity

Minimum variance adaptive beamforming combined with coherence factor weighting applied to ultrafast active cavitation imaging

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Journal of Measurement Science and Instrumentation 2017年第1期8卷 68-77页

作者： DING Ting HU Hong YANG Lu GUI Zhi-guo Key laboratory o f Instrumentation Science & Daynamic ISAeasurement (North University o f China) Ministry o f Education Taiyuan 030051 China Science and Technology on Electronic Test & ISAeasurement Laboratory North University o f China Taiyuan 030051 China Department of Biomedical Engineering School of Life Science and TechnologyXi'an Jiaotong University Xi'an 710049 China

The ultrafast active cavitation imaging(UACI)based on plane wave transmission and delay-and-sum(DAS)beamforming has been developed to monitor cavitation events with a high frame ***,DAS beamforming leads to images with limited resolution and *** this paper,minimum variance(M V)adaptive beamforming and coherence factor(CF)weighting are combined to achieve an MVCF-based UACI,which can improve the cavitation imaging *** detailed algorithm evaluation has been investigated from both simulation and experimental data The simulation data include10point targets and a cyst,while the experimental data are obtained by detecting the dissipation of cavitation bubbles in water excited by a single element transducer with frequency *** advantages of the proposed methodology as well as the comparison with conventional B-mode,DAS?M V,DAS-CF and MV on the basis of compressive sensing(CS)(called MVCS)beamformers are *** results show that MVCF beamformer has a significant improvement in terms of both resolutions and signal-to-noise ratio(SN R).The MVCF-based UACI has a SNR at21.82dB higher,lateral and axial resolution at2.69times and1.93times?respectively,which were compared with those of B-mode active cavitation *** MVCF-based UACI can be used to image the residual cavitation bubbles with a higher SNR and better spatial resolution

关键词： ultrafast active cavitation imaging (UACI) cavitation event adaptive beamforming coherence factor weighting

adaptive beamforming with Nulling Broadens and Sidelobe Control:A Second-Order Cone Programming Approach

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Adaptive Beamforming with Nulling Broadens and Sidelobe Cont...

Novel adaptive beamforming Algorithm Based on Wavelet Packet Transform

第十七届全国青年通信学术年会

作者： Fulai LIU1,2,a,Pingping CHEN2,b,Lu PENG2,c,Shouming GUO1,d 1.Engineer Optimization and Smart Antenna Institute,Northeastern University at Qinhuangdao,China 2.School of Information Science and Engineering,Northeastern University,Shenyang,China

A new approach to adaptive beamforming with nulling broadens and sidelobe control is *** proposed beamformer represents a modification of the popular minimum variance distortionless response(MVDR) beamformer,which minimizes the array output power while maintaining the distortionless response in the direction of the desired *** this paper,a number of interfering signals are assumed to be incident on the array from the sidelobe region for nulling *** addition,the proposed method can make sure that the sidelobe level is strictly guaranteed to be lower than some given(prescribed) threshold *** resulting modified MVDR problem is shown to be convex,and its second-order cone(SOC) formulation is obtained that facilitates a computationally efficient way to implement our beamformer using the interior point *** results are presented to verify the effectiveness of the proposed method.

关键词： adaptive beamforming second-order cone(SOC) programming covariance matrix taper(CMT) nulling broadens sidelobe control

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Journal of Southwest Jiaotong University(English Edition) 2005年第1期13卷 28-34页

作者：张小飞徐大专 Department of Electronic Engineering Nanjing University of Aeronautics & Astronautics Nanjing 210016 China

An analysis of the received signal of array antennas shows that the received signal has multi-resolution characteristics, and hence the wavelet packet theory can be used to detect the signal. By emplying wavelet packet theory to adaptive beamforming, a wavelet packet transform-based adaptive beamforming algorithm (WP-ABF) is proposed . This WP-ABF algorithm uses wavelet packet transform as the preprocessing, and the wavelet packet transformed signal uses least mean square algorithm to implement the ~adaptive beamforming. White noise can be wiped off under wavelet packet transform according to the different characteristics of signal and white under the wavelet packet transform. Theoretical analysis and simulations demonstrate that the proposed WP-ABF algorithm converges faster than the conventional adaptive beamforming algorithm and the wavelet transform-based beamforming algorithm. Simulation results also reveal that the convergence of the algorithm relates closely to the wavelet base and series; that is, the algorithm convergence gets better with the increasing of series, and for the same series of wavelet base the convergence gets better with the increasing of regularity.

关键词： adaptive beamforming Wavelet packet transform Multi-resolution analysis Array signal processing

ROBUST adaptive beamforming ALGORITHM UNDER DIRECTIONAL UNCERTAINTY

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ROBUST ADAPTIVE BEAMFORMING ALGORITHM UNDER DIRECTIONAL UNCE...

An approach to sample broadband radar signal with low-rate ADC using adaptive beamforming technique

2009中国控制与决策会议

作者： Xin Song,Jinkuan Wang,Bin Wang Engineering Optimization & Smart Antenna Institute Northeastern University,Qinhuangdao,066004

＜正＞When applying adaptive arrays to actualities,the performance of existing adaptive array algorithms is known to degrade substantially because of the slight mismatch between actual and presumed array responses to the desired *** this paper,a novel robust adaptive beamforming algorithm under directional uncertainty is therefore proposed using a Bayesian approach to respond to the current environment by learning or estimating the direction of arrival（DOA） of the actual signal from *** proposed algorithm can provide excellent robustness to the uncertainty of DOA of actual signal and make the mean output array SINR consistently close to the optimal *** results reveal that the proposed algorithm is superior in performance to conventional adaptive beamforming algorithms.

关键词： adaptive beamforming Directional Uncertainty Signal Steering Vector Mismatches

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An approach to sample broadband radar signal with low-rate A...

Properties of a general quaternion-valued gradient operator and its applications to signal processing

2006 CIE International Conference on Radar

作者： Ma Lun Li Zhenfang and Liao Guisheng National Lab.of Radar Signal Processing Xidian University Xi’an China

To directly sample broadband radar signal with high-rate Analog-to-Digital Converter（ADC） suffers from high cost and low sampling *** this paper a novel method is presented to sample a wide-band signal with multiple low-rate ADC channels by using adaptive beamforming *** method has the advantages of low cost,low sampling rate,high precision,easy implementation,and it is robust to channel *** effectiveness of the proposed approach is verified by simulated data.

关键词： Analog-to-Digital Converter(ADC) adaptive beamforming Multi-channel sampling

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Frontiers of Information Technology & Electronic Engineering 2016年第2期17卷 83-95页

作者： Meng-di JIANG Yi LI Wei LIU Department of Electronic and Electrical Engineering University of Sheffield School of Mathematics and Statistics University of Sheffield

The gradients of a quaternion-valued function are often required for quaternionic signal processing *** HR gradient operator provides a viable framework and has found a number of ***,the applications so far have been limited to mainly real-valued quaternion functions and linear quaternionvalued *** generalize the operator to nonlinear quaternion functions,we define a restricted version of the HR operator,which comes in two versions,the left and the right *** then present a detailed analysis of the properties of the operators,including several different product rules and chain *** the new rules,we derive explicit expressions for the derivatives of a class of regular nonlinear quaternion-valued functions,and prove that the restricted HR gradients are consistent with the gradients in the real *** an application,the derivation of the least mean square algorithm and a nonlinear adaptive algorithm is *** results based on vector sensor arrays are presented as an example to demonstrate the effectiveness of the quaternion-valued signal model and the derived signal processing algorithm.

关键词： Quaternion Gradient operator Signal processing Least mean square(LMS) algorithm Nonlinear adaptive filtering adaptive beamforming