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Journal articles on the topic 'Matrix interference'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Fu, Jin, Wenfeng Dong, Longhao Qiu, Chunpeng Zhao, and Zherui Wang. "Self-Interference Suppression of Unmanned Underwater Vehicle with Vector Hydrophone Array Based on an Improved Autoencoder." Journal of Marine Science and Engineering 11, no. 7 (2023): 1358. http://dx.doi.org/10.3390/jmse11071358.

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The self-interference of an unmanned underwater vehicle (UUV) weakens its ability to detect targets of interest. Due to limitations in the size of the sonar array and the complexity of the interference, the performance of existing self-interference suppression methods in practical applications is unsatisfactory. Our research focuses on analyzing the influence of near-field interferences on the sample covariance matrix (SCM) and proposes an interference suppression algorithm based on an improved autoencoder. The proposed algorithm effectively learns the feature distribution of near-field interf

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Pan, Shuai, Yongshun Zhang, Qichao Ge, Renrong Hu, and Chong Yan. "Multi-mainlobe Interferences Suppression Based on Interference Covariance Matrix Reconstruction." Journal of Physics: Conference Series 1176 (March 2019): 042011. http://dx.doi.org/10.1088/1742-6596/1176/4/042011.

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3

Lei, Guoping, Hongliang He, Ke Xiao, and Minlu Dai. "Analysis and Research on the Structure Selection of BeiDou Navigation Array Antenna Based on Optimized PI Algorithm." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 02 (2019): 2058002. http://dx.doi.org/10.1142/s0218001420580021.

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To overcome the disadvantages of the traditional power inversion algorithm, which has obvious suppression effect on strong interference signals but unobvious effect on suppression of weak interference signals, a matrix decomposition method is proposed to extract the interference sub-matrix and noise sub-matrix, so that the power inversion algorithm can be adopted to weaken and filter out the signals in the case of weak interference. Through the optimized power inversion algorithm, the interference signal can be weakened obviously at the antenna receiving end, and the quality of the effective s

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Wu, Zhixia, Shengqi Zhu, Jingwei Xu, Lan Lan, Ximin Li, and Yiqun Zhang. "Frequency Increment Design Method of MR-FDA-MIMO Radar for Interference Suppression." Remote Sensing 15, no. 16 (2023): 4070. http://dx.doi.org/10.3390/rs15164070.

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In the present complex electromagnetic environment, radar target detection is threatened by different kinds of interferences, especially mainlobe deceptive interference, which occupies the same energy distributions of targets spatially, meaning that targets and interferences cannot be discriminated. To make matters worse, the number of suppressible interferences is limited by the number of physical array elements, leading to the degradation of the suppression performance of traditional radar. In this work, we propose a frequency-increment-based interference suppression method for minimum redun

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Aghajani, Rouhollah, and Maryam Nilforosh. "SINR Enhancement in Co-located MIMO RADAR with Multiple Targets." Radar 8, no. 2 (2021): 1–8. https://doi.org/10.5281/zenodo.5689165.

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This paper focuses on improving the signal-to-noise plus interference ratio on multi-input multi-output radars. Here, an algorithm is proposed, whereby the waveform of the transmitter and the receiver filter coefficients are designed simultaneously to better detect the targets in the presence of the dependent interference signal. The proposed algorithm is a convex optimization-based sequential algorithm, in which each iteration optimizes the covariance matrix of the transmitted signals to concentrate the antenna radiation pattern on the target and also attempts to eliminate the maximum number

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6

Laili, Yuanjun, Fei Ye, Yongjing Wang, and Lin Zhang. "Interference probability matrix for disassembly sequence planning under uncertain interference." Journal of Manufacturing Systems 60 (July 2021): 214–25. http://dx.doi.org/10.1016/j.jmsy.2021.05.014.

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7

Ji, Yunhao, Yaobing Lu, Shan Wei, and Zigeng Li. "Multiple Mainlobe Interferences Suppression Based on Eigen-Subspace and Eigen-Oblique Projection." Sensors 22, no. 21 (2022): 8494. http://dx.doi.org/10.3390/s22218494.

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When the desired signal and multiple mainlobe interferences coexist in the received data, the performance of the current mainlobe interference suppression algorithms is severely challenged. This paper proposes a multiple mainlobe interference suppression method based on eigen-subspace and eigen-oblique projection to solve this problem. First, use the spatial spectrum algorithm to calculate interference power and direction. Next, reconstruct the eigen-subspace to accurately calculate the interference eigenvector, then generate the eigen-oblique projection matrix to suppress mainlobe interferenc

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Lv, Xue Lei, Guo Mei Zhang, Guo Bing Li, Gang Ming Lv, and Chao Zhang. "Partial Interference Alignment Schemes for the K-User MIMO Interference Channel." Applied Mechanics and Materials 548-549 (April 2014): 1368–76. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1368.

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Partial interference alignment (PIA) strategies for the K-user interference channel are considered. Two schemes are proposed to align the partial interference for the downlink interference channel in the case ofK>3. In the first scheme, strong interferences are limited as much as possible by aligning the two strongest interferers into a same subspace at the receiver. While the second scheme is to design its precoding matrix (or vector) by selecting the precoder pair which maximizes the chordal distance between designed signal subspace and interference signal subspace in the set of pecoding

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9

Kazmierczak, Steven C., Paul G. Catrou, and Donald Boudreau. "Simplified interpretative format for assessing test interference: studies with hemoglobin-based oxygen carrier solutions." Clinical Chemistry 44, no. 11 (1998): 2347–52. http://dx.doi.org/10.1093/clinchem/44.11.2347.

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Abstract Substances such as hemoglobin that interfere with analytical processes are recognized as a frequent source of error in laboratory medicine. Standard guidelines for assessment of test interferences assume that interference effects are not related to the concentration of the analyte being measured. However, previous investigations have demonstrated that interference effects can be markedly different, depending on the concentrations of interferent and analyte within the specimen. An experimental protocol for investigating these different types of interference effects has been developed.

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10

Rainey, P. M., K. E. Rogers, and W. L. Roberts. "Metabolite and matrix interference in phenytoin immunoassays." Clinical Chemistry 42, no. 10 (1996): 1645–53. http://dx.doi.org/10.1093/clinchem/42.10.1645.

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Abstract The major phenytoin metabolite, 5-(p-hydroxyphenyl)-5-phenylhydantoin glucuronide (HPPG), was primarily responsible for the positive bias noted when uremic specimens were assayed with the Abbott TDx Free Phenytoin fluorescence polarization immunoassay. The amount of bias depended on both HPPG and phenytoin concentration, increasing with increases in either concentration. The new Abbott TDx II assays for phenytoin and free phenytoin exhibited no significant cross-reactivity with HPPG and no bias in clinical specimens from uremic patients. Both assays correlated well with Emit-based ass

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Li, Mao, Zishu He, and Wencai Li. "Transient Interference Mitigation via Supervised Matrix Completion." IEEE Geoscience and Remote Sensing Letters 13, no. 7 (2016): 907–11. http://dx.doi.org/10.1109/lgrs.2016.2553082.

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12

Chang, Lin, Hao Zhang, T. Aaron Gulliver, and Tingting Lyu. "Robust Adaptive Beamforming for Interference Suppression Based on SNR." Electronics 12, no. 21 (2023): 4501. http://dx.doi.org/10.3390/electronics12214501.

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Robust adaptive beamforming (RAB) can be used to suppress interference signals while retaining the desired signals received by a sensor array. However, desired signal self-cancellation and model mismatch can affect RAB performance. In this paper, a novel interference-plus-noise covariance matrix (INCM) reconstruction method is proposed for RAB to solve these problems. The proposed method divides the desired signal into two ranges according to the input signal-to-noise ratio (SNR), namely low SNR and high SNR. In the low SNR range, INCM reconstruction directly uses the same sample covariance ma

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13

Chen, Peng, Long Zuo, and Wei Wang. "Adaptive Beamforming for Passive Synthetic Aperture with Uncertain Curvilinear Trajectory." Remote Sensing 13, no. 13 (2021): 2562. http://dx.doi.org/10.3390/rs13132562.

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Recently, numerous reconstruction-based adaptive beamformers have been proposed, which can improve the quality of imaging or localization in the application of passive synthetic aperture (PSA) sensing. However, when the trajectory is curvilinear, existing beamformers may not be robust enough to suppress interferences efficiently. To overcome the model mismatch of unknown curvilinear trajectory, this paper presents an adaptive beamforming algorithm by reconstructing the interference-plus-noise covariance matrix (INCM). Using the idea of signal subspace fitting, we construct a joint optimization

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14

Cui, Yue, Kai Hua Liu, and Jun Feng Wang. "Direction of Arrival Estimation for Coherent Signals in GPS Receiver." Applied Mechanics and Materials 195-196 (August 2012): 109–14. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.109.

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A new direction of arrival (DOA) estimation method is proposed for coherent GPS signals, which applies to the GPS receiver with rich multipath, strong interference and low SNR. In this method, the interference is first suppressed by projecting the received signal onto the interference orthogonal subspace. Afterwards, the noise is eliminated by the spatial difference matrix. Then, the coherent GPS signals are decorrelated by the reconstructed Toeplitz matrix, and the DOA estimation is improved by a new constructed matrix. The proposed method can obtain more accurate DOA estimation for coherent

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15

Liu, Chao, Xiaoyuan Zhang, Junjie Qian, and Lei Zhang. "Robust Mainlobe Interference Suppression Based on Joint Oblique Projection for Dual Polarization Conformal Array." International Journal of Antennas and Propagation 2023 (April 20, 2023): 1–8. http://dx.doi.org/10.1155/2023/5122133.

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In this paper, a robust mainlobe interference suppression algorithm is proposed in a space-polarization joint domain based on a dual-polarized conformal array. An oblique projection filter can eliminate the interference while retaining the desired signal information. However, little deviation in signal parameters will lead to significant performance degradation. To solve such problems, the joint steering vector of the desired signal is corrected by solving the quadratic convex optimization problem. Parameters of interferences are first estimated by using multiple signal classification (MUSIC)

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16

Matilainen, Rose, and Jouni Tummavuori. "Determination of Boron in Fertilizers by Inductively Coupled Plasma-Atomic Emission Spectrometry: Studies of Some Spectral Interferences at Different Wavelengths." Journal of AOAC INTERNATIONAL 78, no. 3 (1995): 598–603. http://dx.doi.org/10.1093/jaoac/78.3.598.

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Abstract The most sensitive analytical wavelengths of boron cannot be used in the determination of boron in fertilizers by inductively coupled plasma-atomic emission spectrometry because of spectral interference by potassium, phosphorus, and iron. For the 4 wavelengths of boron investigated, it was noticed that, at the same wavelength, the pattern of spectral interference changes according to fertilizer composition. The spectral interference patterns at the 4 analytical boron wavelengths were studied by adding matrix elements typically found in fertilizers to real fertilizer samples. When leve

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17

Волосюк, Валерій Костянтинович, Володимир Володимирович Павліков, Семен Сергійович Жила та ін. "Оптимізація поляризаційно-доплерівської селекції малорозмірних об’єктів на тлі підстильної поверхні". Aerospace technic and technology, № 6 (29 листопада 2021): 49–61. http://dx.doi.org/10.32620/aktt.2021.6.06.

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Using the method of maximum likelihood, the optimal algorithm of polarization-Doppler selection of objects on the background of the underlying surface, hydrometeors, urban buildings from aerospace carriers of radio electronic equipment has been synthesized. To solve the problem polarimetric properties of the scattered electromagnetic radiation of natural environments and anthropogenic objects were analyzed.The functional-deterministic mathematical model of the useful signalis determined. When solving the optimization problem, the method of maximum likelihood functionality and likelihood functi

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Liu, Yulong, Yingzeng Yin, Ruilong Li, and Ru Fang. "Flexible Null Broadening Robust Beamforming Based on JADE." Applied Sciences 12, no. 18 (2022): 9329. http://dx.doi.org/10.3390/app12189329.

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In order to flexibly and completely suppress dynamic interference, a flexible and robust beamforming based on JADE is proposed in this paper. In addition, it is insensitive to the gain–phase errors of the array. Firstly, the actual steering vector with gain–phase errors is separated from the received snapshot data by the joint approximate diagonalization of eigenmatrix (JADE) algorithm. Secondly, the direction of arrival (DOA) of interference can be estimated from the separated actual steering vector by the correlation coefficient method. Thus, the actual interference steering vector with gain

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19

Xie, Zhuang, Chongyi Fan, Jiahua Zhu, and Xiaotao Huang. "Doubly Covariance Matrix Reconstruction Based Blind Beamforming for Coherent Signals." Sensors 20, no. 12 (2020): 3595. http://dx.doi.org/10.3390/s20123595.

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This paper proposes a beamforming method in the presence of coherent multipath arrivals at the array. The proposed method avoids the prior knowledge or estimation of the directions of arrival (DOAs) of the direct path signal and the multipath signals. The interferences are divided into two groups based on their powers and the interference-plus-noise covariance matrix (INCM) is reconstructed through the doubly covariance matrix reconstruction concept. The composite steering vector (CSV) that accounts for the direct path signal and multipath signals is estimated as the principal eigenvector of t

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20

Lin, Bin, Guoping Hu, Hao Zhou, and Guimei Zheng. "Coherent Signal DOA Estimation for MIMO Radar under Composite Background of Strong Interference and Non-Uniform Noise." Sensors 22, no. 24 (2022): 9833. http://dx.doi.org/10.3390/s22249833.

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To address the problems of low accuracy and low robustness of the conventional algorithm in estimating the direction of arrival (DOA) of coherent signals against a composite background of strong interference and non-uniform noise, in this paper, a coherent signal DOA estimation algorithm based on fixed projection blocking is proposed in conjunction with a multi-input multi-output (MIMO) radar. The covariance matrix of the received signal is first decomposed by eigenvalues, and a fixed projection matrix orthogonal to the interference guidance vector is constructed as the interference blocking m

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21

YUAN, Xiao Lei, Lu GAN, and Hong Shu LIAO. "A Robust Interference Covariance Matrix Reconstruction Algorithm against Arbitrary Interference Steering Vector Mismatch." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E98.A, no. 7 (2015): 1553–57. http://dx.doi.org/10.1587/transfun.e98.a.1553.

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22

Yao, Di, Xin Zhang, Bin Hu, Qiang Yang, and Xiaochuan Wu. "Robust Adaptive Beamforming with Optimal Covariance Matrix Estimation in the Presence of Gain-Phase Errors." Sensors 20, no. 10 (2020): 2930. http://dx.doi.org/10.3390/s20102930.

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An adaptive beamformer is sensitive to model mismatch, especially when the desired signal exists in the training samples. Focusing on the problem, this paper proposed a novel adaptive beamformer based on the interference-plus-noise covariance (INC) matrix reconstruction method, which is robust with gain-phase errors for uniform or sparse linear array. In this beamformer, the INC matrix is reconstructed by the estimated steering vector (SV) and the corresponding individual powers of the interference signals, as well as noise power. Firstly, a gain-phase errors model of the sensors is deduced ba

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23

Yastrebov, A. V. "Iterative inversion algorithm for an interference correlation matrix." Journal of «Almaz – Antey» Air and Space Defence Corporation, no. 2 (June 30, 2017): 4–9. http://dx.doi.org/10.38013/2542-0542-2017-2-4-9.

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The article considers efficiency of a multi-channel interference canceller as a function of the number of compensation channels used for a fixed number of jammers. The author suggests an iterative inversion algorithm for an interference correlation matrix, making it possible to achieve zero loss at a certain stage and decrease the computational complexity of determining weight factors for compensation channels

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24

Zhang, Haiqing, Yongfeng Zhu, Jiamei Feng, and Qiang Fu. "Nonuniform ISRJ suppression based on time shift alignment and morphological processing." Journal of Physics: Conference Series 2414, no. 1 (2022): 012010. http://dx.doi.org/10.1088/1742-6596/2414/1/012010.

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Abstract Non-uniform interrupted-Sampling Repeater Jamming is a coherent interference technology based on the principle of undersampling, and it has a salient feature over several uniform interferences in terms of pseudo-randomness, which makes it more difficult for radar to detect real targets. Aiming at the target detection problem of non-uniform interrupted-sampling repeater jamming, a method for radar based on time-frequency domain interference suppression is proposed in this paper. Firstly, according to the short-term Fourier transform strategy, the echo signal is converted to the time-fr

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25

Fan, Qing, Yun Yu, Liang An, Hongli Cao, and Chuanqi Zhu. "Fast and accurate wideband sparse spatial spectrum estimation in an underwater strong interference environment." Journal of the Acoustical Society of America 154, no. 6 (2023): 3810–20. http://dx.doi.org/10.1121/10.0023934.

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Wideband sparse spatial spectrum estimation is an important direction-of-arrival (DOA) estimation method that can obtain a high resolution with few snapshots and a low signal-to-noise ratio. However, in an underwater strong interference environment, the accuracy of DOA estimation may be seriously affected, and even the weak targets could be completely masked. In this paper, we propose a fast matrix filter design method based on truncated nuclear norm regularization to attenuate strong interferences while passing weak targets. The matrix filter operator and the exact covariance matrix after fil

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26

Dawson, David D., and Robert W. Martin. "Investigation of Chocolate Matrix Interference on Cannabinoid Analytes." Journal of Agricultural and Food Chemistry 68, no. 20 (2020): 5699–706. http://dx.doi.org/10.1021/acs.jafc.0c01161.

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27

Carotenuto, Vincenzo, Danilo Orlando, and Alfonso Farina. "Interference Covariance Matrix Structure Classification in Heterogeneous Environment." IEEE Signal Processing Letters 26, no. 10 (2019): 1491–95. http://dx.doi.org/10.1109/lsp.2019.2936101.

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28

Vaccaro, Richard J., Amit Chhetri, and Brian F. Harrison. "Matrix filter design for passive sonar interference suppression." Journal of the Acoustical Society of America 115, no. 6 (2004): 3010–20. http://dx.doi.org/10.1121/1.1736653.

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29

Bentrcia, Abdelouahab. "Kaczmarz successive interference cancellation: A matrix algebraic approach." Digital Signal Processing 89 (June 2019): 60–69. http://dx.doi.org/10.1016/j.dsp.2019.03.002.

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30

Peng, Shixin, Xiaohui Chen, Wei Lu, Chao Deng, and Jingying Chen. "Spatial Interference Alignment with Limited Precoding Matrix Feedback in a Wireless Multi-User Interference Channel for Smart Grids." Energies 15, no. 5 (2022): 1820. http://dx.doi.org/10.3390/en15051820.

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Cellular communication provides an efficient, flexible, long-lived, and reliable communication technology for smart grids to improve the automated analysis, demand response, adoptive control, and coordination between the generator and consumers. With the expansion of wireless networks and the increase of access devices, interference has become a major problem that limits the performance of cellular wireless communication systems for smart grids. Spatial interference alignment (IA) is an effective method to eliminate interference and improve the capacity of wireless communication networks. This

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Yang, Jian, Jian Lu, Xinxin Liu, and Guisheng Liao. "Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources." Sensors 20, no. 7 (2020): 1865. http://dx.doi.org/10.3390/s20071865.

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When jammers move rapidly or an antenna platform travels at high speed, interference signals may move out of the null width in the array beampattern. Consequently, the interference suppression performance can be significantly degraded. To solve this problem, both the null broadening technique and robust adaptive beamforming are considered in this paper. A novel null broadening beamforming method based on reconstruction of the interference-plus-noise covariance (INC) matrix is proposed, in order to broaden the null width and offset the motion of the interfering signals. In the moving case, a si

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Cui, Lin, Kai Xue, Boyan Wang, and Yuanbang Zhang. "Robust Adaptive Beamforming Algorithm Based on Complex Gauss–Legendre Integral." Electronics 12, no. 18 (2023): 3794. http://dx.doi.org/10.3390/electronics12183794.

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This study addresses the poor robustness of the current beamforming algorithm for covariance matrix reconstruction and the high computational complexity in the covariance matrix reconstruction process. A robust beamforming algorithm based on the Complex Gauss–Legendre integral is proposed. The method firstly partitions the neighborhood of the interference signal and constructs the interference signal space using the complex Gauss-Legendre integral, then projects the received signal into the interference signal space to filter out the desired signal and complete the reconstruction of the interf

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Li, Yun Long, Jian Min Gao, Lei Shi, and Song Wang. "Assembly Modeling for 3D Component Based on Polychromatic Sets." Advanced Materials Research 411 (November 2011): 388–92. http://dx.doi.org/10.4028/www.scientific.net/amr.411.388.

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In order to improve the efficiency of assembly modeling and provide a complete assembly model for assembly sequence planning (ASP), a method of assembly modeling based on polychromatic sets (PS) is proposed. Firstly, the assembly information of 3D Component is obtained by API function in SolidWorks. In addition, assembly incident matrix, information matrix and mapping matrix are built. On the basis of these matrixes, a method of location modeling is explored. The interference relation matrix is developed by judging the spatial location and analyzing dynamic interference relation among parts. F

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Devi Chander, Premla, Chai Mee Kin, and Wong Ling Shing. "The Study of Matrix Interference of Vegetable Samples in Dispersive Liquid-Liquid Microextraction (DLLME)." Modern Environmental Science and Engineering 1, no. 5 (2015): 243–49. http://dx.doi.org/10.15341/mese(2333-2581)/05.01.2015/005.

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35

Matilainen, Rose, and Jouni Tummavuori. "Determination of Calcium in Certain Fertilizers by Inductively Coupled Plasma Atomic Emission Spectrometry: Studies of Some Spectral and Interelement Effects at Different Wavelengths." Journal of AOAC INTERNATIONAL 80, no. 2 (1997): 294–97. http://dx.doi.org/10.1093/jaoac/80.2.294.

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Abstract Four analytical wavelengths (393.366, 396.847, 317.933, and 422.673 nm) were used to determine Ca in 2 fertilizers by inductively coupled plasma atomic emission spectroscopy (ICP-AES). Matrix effects were studied by adding to real fertilizer solutions fertilizer elements that are known or believed to interfere with Ca determination. Matrix effects were calculated by multiple linear regression. Interference was caused by S, K, or B. At 422.673 nm, the interference of B and K is a spectral effect, and at 396.847 and 317.933 nm, the interference of S and K is an interelement effect. At 3

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Yao, Jinjie, Changchun Zhao, Jiansheng Bai, Yang Ren, Yangyang Wang, and Jing Miao. "Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix Reconstruction." Sensors 23, no. 17 (2023): 7575. http://dx.doi.org/10.3390/s23177575.

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Direction of arrival (DOA) estimation is an effective method for detecting various active interference signals during the satellite navigation process. It can be utilized for both interference detection and anti-interference applications. This paper proposes a DOA estimation algorithm for satellite interference sources based on frequency domain covariance matrix reconstruction (FDCMR) to address various types of active interference that may occur in the satellite navigation positioning process. This algorithm can estimate the DOA of coherent signals from multiple frequency points under low sig

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Pozdyshev, Valery Yu, Sergey V. Yakubovskiy, Alexey V. Zyuzin, and Alexander V. Timoshenko. "DETECTION OF RADAR TARGETS ON THE BACKGROUND OF ACTIVE INTERFERENCE BY THE DETECTOR OF THE POLARIZATION MATTER OF THE SCATTERING." T-Comm 14, no. 9 (2020): 4–9. http://dx.doi.org/10.36724/2072-8735-2020-14-9-4-9.

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The article discusses the possibility of detecting radar targets moving under the cover of active noise masking interference, acting along the main lobe of the antenna system's radiation pattern, and also using self-covering noise. It is shown that in radar stations with full polarization sounding of the space and measurement of the polarization scattering matrix (PSM), it is possible to synthesize a decisive rule for target detection against active noise-free correlated interference. This synthesis is possible on the basis of the determinant of the polarization scattering matrix, the value of

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Luo, Xiangcheng, and D. D. L. Chung. "Electromagnetic interference shielding using continuous carbon-fiber carbon-matrix and polymer-matrix composites." Composites Part B: Engineering 30, no. 3 (1999): 227–31. http://dx.doi.org/10.1016/s1359-8368(98)00065-1.

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Izawa, Yoshikane, Yu-Huan Gu, Takashi Osada та ін. "β1-integrin–matrix interactions modulate cerebral microvessel endothelial cell tight junction expression and permeability". Journal of Cerebral Blood Flow & Metabolism 38, № 4 (2017): 641–58. http://dx.doi.org/10.1177/0271678x17722108.

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Acutely following focal cerebral ischemia disruption of the microvessel blood–brain barrier allows transit of plasma proteins into the neuropil as edema formation that coincides with loss of microvessel endothelial β1-integrins. We extend previous findings to show that interference with endothelial β1-integrin–matrix adhesion by the monoclonal IgM Ha2/5 increases the permeability of primary cerebral microvascular endothelial cell monolayers through reorganization of claudin-5, occludin, and zonula occludens-1 (ZO-1) from inter-endothelial borders. Interference with β1-integrin–matrix adhesion

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Wang, Wei, Lanxiang Sun, Peng Zhang, Tong Chen, Liming Zheng, and Lifeng Qi. "Study of matrix effects in laser-induced breakdown spectroscopy by laser defocus and temporal resolution." Journal of Analytical Atomic Spectrometry 36, no. 9 (2021): 1977–85. http://dx.doi.org/10.1039/d1ja00179e.

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Taking the spectrum generated by the pure sample as the matrix background and subtracting the intensity value of the matrix background at the analysis line can reduce the interference of the matrix effects.

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Shariati-Rad, Masoud, Mohsen Irandoust, and Sara Sheikhi. "Net analyte signal based interferent modelling (NAS-IM) for solving matrix effects and unknown spectral interferents." Analytical Methods 7, no. 20 (2015): 8901–10. http://dx.doi.org/10.1039/c5ay01505g.

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Processing of the standard addition data by using the net analyte signal (NAS) was introduced for analyte determination in the presence of matrix effects and spectral interference caused by unknown interferent(s).

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Wei, Lin, Yu Guang Tang, and Wen Hua Tao. "Multivariable Decentralized Controller Performance Assessment Techniques Based on Improved User-Specified Benchmark." Advanced Materials Research 846-847 (November 2013): 238–42. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.238.

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In order to solve the deficiency that traditional user-defined indicator does not consider the internal structure of multivariable decentralized controller, we propose the assessment method that based on improved user-specified benchmark. In the method, the open-loop delay and interference of traditional user-specified benchmark replaced by the effective partially closed-loop delay and interference correspondingly. New right diagonal interactor matrix replaces the unit interactor matrix, which greatly simplifies the complexity of solving performance indicators. The experimental results prove t

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Min, Lingtong, Qinyi Lv, Laisen Nie, and Deyun Zhou. "Anti-Interference Heartbeat Measurement Based on a Miniaturized Doppler Radar Sensor." Advances in Mathematical Physics 2021 (August 18, 2021): 1–11. http://dx.doi.org/10.1155/2021/1620938.

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It is a hot topic to utilize the Doppler radar sensor in noncontact biosignal monitoring nowadays. Unfortunately, most detections are easily affected by interference or strong noise. Even slight body movements can cause serious demodulation distortion. In this paper, we proposed a novel algorithm to solve the sudden and unexpected interference. Firstly, the one-dimensional signal detected by the sensor is divided into segments to form a two-dimensional data matrix. In both the intrasegment and intersegment domains of the data matrix, a robust algorithm is employed to suppress unwanted interfer

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Chu, Yi, Wei Yau Horng, Shinn Fwu Wang, Shyh Rong Lay, and Yu Pin Liao. "Pseudo-Interference Technique for Reducing the Mutual Coupling Effects in Adaptive Beamformers." Applied Mechanics and Materials 427-429 (September 2013): 2054–58. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2054.

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A robust beamformer with pseudo-interference approach for reducing the effect of mutual coupling is present in this paper. This technique uses injected interference to improve the equivalent interference-to-noise ratio in the diagonally loaded Capon beamformer. The mutual coupling coefficients are estimated for interference correlation matrix reconstruction. The resulted beamformer is insensitive to the mutual coupling effects and angular mismatch.

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Zhang, Yifan, Tianxiang Huang, and Shipu Wei. "Research on PCI Sequence Optimization in Large-scale Mobile Communication Networks based on Genetic Algorithm." Academic Journal of Science and Technology 12, no. 1 (2024): 283–86. http://dx.doi.org/10.54097/wd8czw19.

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This study focuses on the importance of physical cell identifier (PCI) planning in large-scale mobile communication networks to reduce inter-cell conflicts, confusion and interference. Genetic algorithms are used to solve the PCI sequence optimization problem in wireless communication systems with the goal of reducing mobile reselection events caused by PCI conflicts, confusions and mode 3 interference. Iterative population selection, crossover and mutation operations are used to search and optimize PCI sequence configurations through a genetic optimization framework. Design PCI reallocation s

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Meng, Zhen, and Feng Shen. "Robust Space-Time Adaptive Processing Method for GNSS Receivers in Coherent Signal Environments." Remote Sensing 15, no. 17 (2023): 4212. http://dx.doi.org/10.3390/rs15174212.

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In the coherent signal environments caused by multipath propagation, the interference suppression performance of the global navigation satellite systems (GNSS) receivers decreases sharply. In this paper, a robust space-time adaptive processing (STAP) method for GNSS receivers is proposed to suppress interferences in coherent signal environments, by using the modified space-time two-dimensional iterative adaptive approach (ST2D-IAA) spectrum estimation. This method applies the IAA algorithm to the ST2D signal model of GNSS receivers, and further modifies the ST2D-IAA algorithm to accurately est

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Li, Chenmu, Liang Xie, Zhongdi Liu, Bin Zhou, and Qiming Ma. "A subspace spatial smoothing-based sparse reconstruction passive direction-of-arrival estimation method under strong interference." Journal of the Acoustical Society of America 157, no. 4 (2025): 2376–91. https://doi.org/10.1121/10.0036352.

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Passive direction-of-arrival (DOA) estimation of weak targets under strong interference is usually challenging, due to the lack of prior information about the targets. When strong interferences and weak targets are closely spaced and the interference signals are strongly correlated or even coherent with the target signals, the DOA estimation of weak targets can become even more difficult. To address this problem, a subspace spatial smoothing-based sparse reconstruction passive DOA estimation method is proposed. In this method, the sample covariance matrix is projected into the signal subspace

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Li, Yi-bing, Xue-ying Diao, and Qian-hui Dong. "Spatial–degree of freedom improvement of interference alignment in multi-input, multi-output interference channels." International Journal of Distributed Sensor Networks 13, no. 1 (2017): 155014771668635. http://dx.doi.org/10.1177/1550147716686351.

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As we know, the degree of freedom approximates the capacity of a network. To improve the achievable degree of freedom in the K-user interference network, we propose a rank minimization interference minimization algorithm. Unlike the existing methods concentrating on the promotion of degree of freedom, our rank optimization method works directly with the interference matrix rather than its projection using the receive beamformers. Moreover, we put the trace constraint of the square root of desired matrix into the rank optimization to prevent the received signal-to-interference-plus-noise ratio

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WANG, Lei, Xiang GAO, Xiaoxiao HU, and Haitao LIU. "Single snapshot DOA estimation algorithm based on high-order power in LDACS." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 42, no. 2 (2024): 362–67. http://dx.doi.org/10.1051/jnwpu/20244220362.

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The L-band digital aeronautical communication system (LDACS) is one of the essential infrastructures for future aviation broadband communication. To address the problem of interference from adjacent high-power distance measuring equipment (DME) signals, a joint orthogonal projection interference suppression and single-snapshot sparse decomposition direction of arrival (DOA) estimation method is proposed. Firstly, the DME interference is suppressed by using the subspace projection, and then a pseudo-covariance matrix is constructed by using single-snapshot data. High-order power of the pseudo-c

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Duan, Yanliang, Yanping Gong, Xiaohui Yang, and Weiping Cao. "Oblique Projection-Based Covariance Matrix Reconstruction and Steering Vector Estimation for Robust Adaptive Beamforming." Electronics 11, no. 21 (2022): 3478. http://dx.doi.org/10.3390/electronics11213478.

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Adaptive beamforming can efficiently contract interference and noise. Due to high sensitivity of the beamformer to model mismatch, the capability of interference reduction will critically degrade when the signal model mismatch occurs, particularly when the sampling sequence contains the desired signal. For the purpose of enhancing the robustness of beamformers to signal model mismatch, we propose a new robust adaptive beamforming (RAB) method. Firstly, the precise steering vector (SV) associating with the desired signal is estimated by employing the minimum norm of subspace projection (MNSP) a

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