Detection and fast motion parameter estimation for target with range walk effect based on new axis rotation moving target detection

Huang, Xiang; Zhang, Yixin; Zhang, Linrang; Chen, Zhanye; Zhang, Lijian

doi:10.1016/j.dsp.2021.103274

Cited by 14 publications

(17 citation statements)

References 43 publications

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“…Through adjustment, construction, and adherence to positive and healthy sports, the right type of sports should be chosen. [ 4 ].…”

Section: Discussionmentioning

confidence: 99%

Application of Motion Effect Evaluation Algorithm Based on Random Forest

Dong

2022

Computational Intelligence and Neuroscience

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The development of big data technology makes the feature selection technology gradually perfect. The advantages of different feature selection technologies are different. Among them, random forest algorithm belongs to integrated feature selection algorithm. Integrated processing of classification results can screen out the most representative feature impact. Based on this background and random forest algorithm, this paper analyzes the evaluation of motion effect. After the measurement, this paper obtains the body data before and after the training. After the calculation, the change data of the body index are determined. The random forest feature selection method is used as the carrier to determine the corresponding index attribute set. In the process of data set input, the corresponding whole input data set is formed through data classification. The completion of training, through the comparative experiment, is conducive to clear the degree of influence of physical indicators and then complete the exercise effect evaluation. The research shows that the random forest algorithm has significant advantages in the evaluation of sports effect and can effectively improve the accuracy of classification.

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“…Through adjustment, construction, and adherence to positive and healthy sports, the right type of sports should be chosen. [ 4 ].…”

Section: Discussionmentioning

confidence: 99%

Application of Motion Effect Evaluation Algorithm Based on Random Forest

Dong

2022

Computational Intelligence and Neuroscience

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“…We ensure that the length of

L

exceeds the projection lengths

{R}_{{\varphi }_{1}}

and

{R}_{{\varphi }_{2}}

. Thus, it could be set as an integer number at

L=\sqrt{{N}_{r}}

[20].…”

Section: Fast Motion Parameter Estimation Algorithm Based On Glrtmentioning

confidence: 99%

“…We ensure that the length of L exceeds the projection lengths R φ 1 and R φ 2 . Thus, it could be set as an integer number at L ¼ ffi ffi ffi ffi ffi N r p [20].…”

Section: Coarse Search and Fine Adjustment In Low Snrmentioning

confidence: 99%

“…The coherent integration algorithms of uniform motion targets can be classified into two categories: parametric and non-parametric searching. Searching algorithms include Radon-Fourier transform (RFT) [15][16][17], axis-rotation transform MTD [18], modified location rotation transform [19], and new axis rotation MTD [20]. These parametric searching algorithms can integrate effectively when the signal-to-noise ratio (SNR) is low, but the computational complexity is large.…”

Section: Introductionmentioning

confidence: 99%

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Radar detection and fast motion parameter estimation for complex manoeuvering targets at high speed and acceleration

Gao

Zhang

Tong-xin

2022

IET Radar Sonar & Navi

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Coherent integration of complex manoeuvering targets at high speed and acceleration causes range and Doppler frequency migration and lead to large computational burdens and parameter estimation error. To solve this, the geometric-auxiliary location rotation transform (GLRT), fast parameter estimation method, and periodic, scaled generalised, high-order ambiguity function (PSGHAF) were proposed for this study. The quadratic range migration was corrected using the second-order keystone transform. The GLRT uses the geometrical relationship between the rotation angle and trajectory projection to estimate the velocity and initial range in different noise environments without searching for multidimensional parameters. Thereafter, the high-acceleration and jerk estimations of the target signal are obtained using PSGHAF, which uses the periodicity of discrete Fourier transformation (DFT) to extend the estimation scope of acceleration. This avoids estimation errors without changing the radar system parameters. Compared with others, the proposed algorithm has a lower computational complexity and improved detection performance. Numerical simulations and real data from unmanned aerial vehicles demonstrate the efficacy of the proposed solution. K E Y W O R D Sgeometric-auxiliary location rotation transform, long-time coherent integration, periodic scaled generalised high-order ambiguity function, range migrationThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…The long time coherent methods can be categorized into incoherent methods and coherent methods according to whether the phase information is used or not. Typical incoherent methods include e.g., Hough transform [11] [12] and moving target detection (MTD) [13] [14]. To be specific,these incoherent methods avoid the strictness of radar system coherence and are easy to employ.…”

Section: Introductionmentioning

confidence: 99%

High-Speed Maneuvering Target Detection And Motion Parameter Estimation Based On A Novel OMP Method

Yang

Wang

Jiang

et al. 2022

Preprint

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The high-speed maneuvering target detection will meet the challenges of the range cell migration (RCM) and Doppler frequency migration (DFM), which will degrade the long-time coherent integration performance for target’s detection and localization. To tackle this problem, a novel target detection method based on an improved orthogonal matching pursuit (OMP) algorithm is proposed in this paper. To be specific, this method assume the approximation of complete dictionary has generalized orthogonality, then an improved OMP method is applied to construct sparse motion parameters dictionary. Thereafter, motion parameters can be estimated and then the RCM and DFM are removed by the compensation function. Finally, the coherent integration can be achieved by performing the inverse fast Fourier transform (IFFT) operation on the compensated echo signal. Numerical simulations and real raw data are performed to compare the proposed method with other existing methods from different aspects, i.e., motion parameter estimation performance, detection probability, coherent integration for a single high-speed target, coherent integration for multiple high-speed targets and computational complexity.

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Detection and fast motion parameter estimation for target with range walk effect based on new axis rotation moving target detection

Cited by 14 publications

References 43 publications

Application of Motion Effect Evaluation Algorithm Based on Random Forest

Application of Motion Effect Evaluation Algorithm Based on Random Forest

Radar detection and fast motion parameter estimation for complex manoeuvering targets at high speed and acceleration

High-Speed Maneuvering Target Detection And Motion Parameter Estimation Based On A Novel OMP Method

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