An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing

Ślesicka, Anna; Kawalec, A.

doi:10.3390/s20123468

Cited by 10 publications

(7 citation statements)

References 23 publications

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“…According to the problems existing in the current sports training system based on virtual reality, the motion capture technology is introduced into the human motion posture simulation and analysis system [16]. e data of the files obtained by motion capture are analysed by the least square method, and the results are applied to the simulation system, which will help to solve many problems and deficiencies in the human motion posture simulation system [17,18]. For the research work of using motion capture technology to obtain data and extract human motion posture parameters, the development of this system is completed with the support of Bessel curve theory.…”

Section: Structure and Design Of Sport Trainingmentioning

confidence: 99%

Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training

Zhang

Tsai

2021

Mobile Information Systems

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Virtual reality technology has many characteristics, such as high immersion, dynamic interactive response, and multidimensional information digitization. These characteristics are needed by the combination of modern sports development and scientific and technological progress. The introduction of virtual reality technology into the field of sports will be conducive to the scientific training of sports competition and the digital research of technical theory and to the rapid development of modern sports. This paper constructs the framework of sports training based on virtual reality technology and designs a motion capture data algorithm based on behavior string, which successfully improves the advantages of virtual reality technology. In addition, the training experiment method is used to verify the effectiveness and superiority of the system, focusing on the high-school students learning tennis for the first time as the experimental object to study the differences in training effects between the traditional training method and the training method using virtual reality technology. The training effect of tennis is better than the traditional training method, and the difference is significant; the internal motivation of training psychology is better than the traditional training method, and the difference is significant. Compared with the traditional training method, this training method can stimulate students’ interest in training, improve students’ training effect, and promote students’ psychological internal motivation to continue training. This study provides useful enlightenment for the further application of virtual reality technology and in the modern sports training for various sports events.

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Section: Structure and Design Of Sport Trainingmentioning

confidence: 99%

Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training

Zhang

Tsai

2021

Mobile Information Systems

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“…Under this condition, even though the sample demand of inde-pendent distribution characteristic is satisfied by the proposed training sample selection scheme, the demand for the identical distribution characteristic will be more difficult to be met simultaneously in the nonhomogeneous clutter condition. The nonhomogeneous clutter suppression methods are not detailed herein [24][25][26][27][28], since we mainly focus on the SCNR-enhanced sub-band STAP in this part. We further derive the weight vector of the sub-band Σ∆-STAP as…”

Section: Joint Multiple Sub-bands σ∆-Stapmentioning

confidence: 99%

Multi-Resolution STAP for Enhanced Ultra-Low-Altitude Target Detection

Liao

et al. 2021

Remote Sensing

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In this paper, an ultra-low-altitude target (ULAT) detection approach, referred to as the multi-resolution space-time adaptive processing (STAP), is proposed to enhance the target detection performance in a missile-borne radar system. In this respect, the whole base band is divided into a series of equal-width and center-frequency-diverse sub-bands with the frequency diversity technique, which enhances the multipath-target coupled (MTC) effect with the decreased range resolution. Hence, it is feasible to exploit the multipath signal power to improve the output signal-to-clutter-plus-noise ratio (SCNR) performance of sub-band STAP. In this regard, the mechanism of the MTC effect is analyzed numerically for the efficient sub-band STAP. However, such SCNR improvement is achieved at the cost of target tracking performance loss. Hence, the full-band STAP is further applied for multipath-target separation based on the target range-Doppler locations detected by the joint multiple sub-bands ΣΔ-STAP, which also alleviates the dynamic target attenuation and the corresponding target Doppler history corruption within the long coherent processing interval (CPI). On this basis, the SCNR performance is further improved by applying coherent accumulation among sub-CPIs, in which the clutter suppression performance degradation and coherent accumulation loss of STAP are alleviated within the sub-CPIs. Numerical and measured results corroborate the effectiveness of ULAT detection with the considered multi-resolution STAP.

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“…The solution of Equation (9) can be realized by orthogonal matching pursuit (OMP) [ 22 ] and works as:…”

Section: Ideal Atomic Decomposition By Orthogonal Matching Pursuitmentioning

confidence: 99%

Uncertainty Principle and Power Quality Sensing and Analysis in Smart Substation

Cai¹,

Wu²,

Cui³

et al. 2020

Sensors

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Different kinds of power quality can be sensed in a smart substation. Power quality sensing and analysis are basic functions of a smart substation for situation awareness. The uncertainty principle, which states that the time uncertainty and frequency uncertainty cannot be minimized simultaneously, is a bottleneck problem that undermines the faithfulness of sensing and confines the accuracy of analysis. This paper studies the influence of the uncertainty principle on the power quality monitoring issue in detail and solves the problem by ideal atomic decomposition (IAD). The new method employs a pair of time and frequency bases where the power quality waveform is sensed. Then, both time uncertainty and frequency uncertainty can be minimized simultaneously. The sensing process is realized by orthogonal matching pursuit (OMP). By simulated and field power quality tests with comparisons of developed methods, the new method can give faithful sensing and accurate analysis for various power qualities, and is validated as an effective power quality monitoring method in smart substations.

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An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing

Cited by 10 publications

References 23 publications

Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training

Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training

Multi-Resolution STAP for Enhanced Ultra-Low-Altitude Target Detection

Uncertainty Principle and Power Quality Sensing and Analysis in Smart Substation

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