A Simplified Cascaded Modular Structure for the Implementation of MVDR Detector

A cascaded modular structure is proposed to implement the blind MVDR detector. In each module of the structure, a vector filter is introduced for adaptive interference cancellation. The weight vector is determined based on a maximum magnitude cross correlation criterion which maximizes the magnitude of the cross correlation between the output of the nonadaptive filter and that of the weight vector filter. The performance of the proposed receiver has been evaluated via computer simulation and shown to be comparable to that of the optimum method under asymptotic condition. When the number of received vectors is non-ideal, the proposed method outperform the optimum method.

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GPS Cross Correlation Mitigation Technique in Multipath Environment

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.439-440.715 ◽

2010 ◽

Vol 439-440 ◽

pp. 715-720

Author(s):

Jun Yao Gao ◽

Jing Shu Yang ◽

Jia Zhao

Keyword(s):

Interference Cancellation ◽

Cross Correlation ◽

Parallel Interference Cancellation ◽

Multipath Environment ◽

Simulation Results ◽

The Cross ◽

The Impact ◽

Mitigation Technique

The paper investigates the cross correlation mitigation (CCM) technique in the multipath propagating environment. It analyses the impact of cross correlation firstly, then expounds the universal technique in CCM, at last presents an improved DPIC (Delayed Parallel Interference Cancellation) method based on MEDLL. The algorithm estimates the parameters of multipath by using MEDLL, reconstructs the strong signals IF utilizing these parameters, and mitigates the cross correlation with the aid of DPIC method. At last, simulation results prove the validity of this method.

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The New Method for Power Quality Indices Estimation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1006-1007.1066 ◽

2014 ◽

Vol 1006-1007 ◽

pp. 1066-1070

Author(s):

Ying Hai ◽

Jing Yu Chen

Keyword(s):

Computer Simulation ◽

Power Quality ◽

Computational Efficiency ◽

Correlation Matrix ◽

Cross Correlation ◽

Additive Noise ◽

Rotational Invariance ◽

New Method ◽

Quality Indices ◽

The Cross

In this paper, the rotational invariance technique (ESPRIT) based on the cross-correlation matrix is used to estimate the power quality indices (PQI) . This method enables the alleviation of the effects of additive noise, and improves the computational efficiency. Computer simulation and experimental were performed on synthesized signals to assess the performance of the method.

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Faculty Opinions recommendation of Detecting protein complexes in living cells from laser scanning confocal image sequences by the cross correlation raster image spectroscopy method.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1147129.604257 ◽

2009 ◽

Author(s):

Stephen Lockett

Keyword(s):

Laser Scanning ◽

Cross Correlation ◽

Protein Complexes ◽

Living Cells ◽

Image Sequences ◽

Spectroscopy Method ◽

Confocal Image ◽

Raster Image ◽

Image Spectroscopy ◽

The Cross

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On the cross-correlation function of a nonlinear network

Proceedings of the IEEE ◽

10.1109/proc.1977.10786 ◽

1977 ◽

Vol 65 (11) ◽

pp. 1615-1616 ◽

Cited By ~ 1

Author(s):

M. Rudko

Keyword(s):

Correlation Function ◽

Cross Correlation ◽

Cross Correlation Function ◽

Nonlinear Network ◽

The Cross

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Insights to enhance the examination of tool marks in human cartilage

International Journal of Legal Medicine ◽

10.1007/s00414-021-02609-9 ◽

2021 ◽

Author(s):

Matthias Weber ◽

Anja Niehoff ◽

Markus A. Rothschild

Keyword(s):

Light Microscope ◽

Cross Correlation ◽

Costal Cartilage ◽

Correlation Coefficients ◽

Human Cartilage ◽

Cut Marks ◽

Tool Marks ◽

The Cross ◽

Cleaning Methods ◽

The Individual

AbstractThis work deals with the examination of tool marks in human cartilage. We compared the effectiveness of several cleaning methods on cut marks in porcine cartilage. The method cleaning by multiple casts achieved the significantly highest scores (P = 0.02). Furthermore, we examined the grain-like elevations (dots) located on casts of cut cartilage. The results of this study suggest that the casting material forms these dots when penetrating cartilage cavities, which are areas where the strong collagen fibres leave space for the chondrocytes. We performed fixation experiments to avoid this, without success. In addition, 31 casting materials were compared regarding contrast under light-microscope and 3D tool marks scanner. Under the light-microscope, brown materials achieved significantly higher values than grey (P = 0.02) or black (P = 0.00) whereas under the 3D scanner, black materials reached higher contrast values than grey (P = 0.04) or brown (P = 0.047). To compare the accuracy and reproducibility of 6 test materials for cartilage, we used 10 knives to create cut marks that were subsequently scanned. During the alignment of the individual signals of each mark, the cross-correlation coefficients (Xmax) and lags (LXmax) were calculated. The signals of the marks in agarose were aligned with significantly fewer lags and achieved significantly higher cross-correlation coefficients compared to all tested materials (both P = 0.00). Moreover, we determined the cross-correlation coefficients (XC) for known-matches (KM) per material. Agarose achieved significantly higher values than AccuTrans®, Clear Ballistics™, and gelatine (all P = 0.00). The results of this work provide valuable insights for the forensic investigation of marks in human costal cartilage.

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Study on the cross-correlation between two country for soybean futures price and exchange rate

Journal of Physics Conference Series ◽

10.1088/1742-6596/1774/1/012003 ◽

2021 ◽

Vol 1774 (1) ◽

pp. 012003

Author(s):

Peiyan Hua

Keyword(s):

Exchange Rate ◽

Cross Correlation ◽

Futures Price ◽

The Cross

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Robust Adaptive Filtering Algorithm for Self-Interference Cancellation with Impulsive Noise

Electronics ◽

10.3390/electronics10020196 ◽

2021 ◽

Vol 10 (2) ◽

pp. 196

Author(s):

Jun Lu ◽

Qunfei Zhang ◽

Wentao Shi ◽

Lingling Zhang ◽

Juan Shi

Keyword(s):

Adaptive Filtering ◽

Interference Cancellation ◽

Impulsive Noise ◽

Weight Vector ◽

Filtering Algorithm ◽

Convergence Performance ◽

Simulation Results ◽

Robust Adaptive ◽

Arctangent Cost Function ◽

Simultaneous Transmission

Self-interference (SI) is usually generated by the simultaneous transmission and reception in the same system, and the variable SI channel and impulsive noise make it difficult to eliminate. Therefore, this paper proposes an adaptive digital SI cancellation algorithm, which is an improved normalized sub-band adaptive filtering (NSAF) algorithm based on the sparsity of the SI channel and the arctangent cost function. The weight vector is hardly updated when the impulsive noise occurs, and the iteration error resulting from impulsive noise is significantly reduced. Another major factor affecting the performance of SI cancellation is the variable SI channel. To solve this problem, the sparsity of the SI channel is estimated with the estimation of the weight vector at each iteration, and it is used to adjust the weight vector. Then, the convergence performance and calculation complexity are analyzed theoretically. Simulation results indicate that the proposed algorithm has better performance than the referenced algorithms.

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Detection and Localization for Multiple Stationary Human Targets Based on Cross-Correlation of Dual-Station SFCW Radars

Remote Sensing ◽

10.3390/rs11121428 ◽

2019 ◽

Vol 11 (12) ◽

pp. 1428 ◽

Cited By ~ 2

Author(s):

Yong Jia ◽

Yong Guo ◽

Chao Yan ◽

Haoxuan Sheng ◽

Guolong Cui ◽

...

Keyword(s):

Cross Correlation ◽

Continuous Wave ◽

Coefficient Matrix ◽

Constant False Alarm Rate ◽

Localization Algorithm ◽

Cfar Detection ◽

Stepped Frequency ◽

The Cross ◽

The One ◽

Detection And Localization

This paper demonstrates the feasibility of detection and localization of multiple stationary human targets based on cross-correlation of the dual-station stepped-frequency continuous-wave (SFCW) radars. Firstly, a cross-correlation operation is performed on the preprocessed pulse signals of two SFCW radars at different locations to obtain the correlation coefficient matrix. Then, the constant false alarm rate (CFAR) detection is applied to extract the ranges between each target and the two radars, respectively, from the correlation matrix. Finally, the locations of human targets is calculated with the triangulation localization algorithm. This cross-correlation operation mainly brings about two advantages. On the one hand, the cross-correlation explores the correlation feature of target respiratory signals, which can effectively detect all targets with different signal intensities, avoiding the missed detection of weak targets. On the other hand, the pairing of two ranges between each target and two radars is implemented simultaneously with the cross-correlation. Experimental results verify the effectiveness of this algorithm.

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