6 Papers
7 Citations
Hu Wen is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Radar & Sparse array. The author has an hindex of 2, co-authored 6 publications.
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Papers
Patent
Low-speed small radar target classification method based on machine learning
Hu Wen,Di Jiaying,Li Mengxia,Chen Jie,Wang Weiguang,Wang Yadong +5 more
- 14 May 2019
TL;DR: In this paper, a low-slow small radar target classification method based on machine learning is proposed, and the method comprises the steps: first, collecting different target tracks as training samples, carrying out the preprocessing of data, and building a training set and a test set; secondly, constructing a machine learning model based on a convolutional neural network; then, training the model by using the training set; and finally, performing verification by using test set, inputting a real-time target track when the verification training reaches a certain accuracy rate, outputting a corresponding classification
2
An optimized 2D-Robust Adaptive Beamforming algorithm based on Matrix Completion in sparse array
Di Jiaying,Hu Wen,Li Mengxia,Hongtao Li +3 more
- 01 Jan 2018
TL;DR: A 2D-robust adaptive beamforming algorithm in sparse array based on Singular Value Thresholding algorithm is proposed, which significantly reduces the Spectral Norm Error and forms robust adaptive beam.
Patent
Radar scheme design method based on machine learning
Hu Wen,Wang Weiguang,Di Jiaying,Li Mengxia,Wang Yadong +4 more
- 08 Oct 2019
TL;DR: In this article, a radar scheme design method based on machine learning is proposed, and the method comprises the steps: carrying out the feature extraction of each type of radar scheme performance indexes and corresponding subsystem type indexes through employing a scheme sample, enabling a scheme to be abstracted into sequence data, and carrying out data preprocessing operation.
1
Patent
Radar clutter suppression method based on machine learning
Hu Wen,Li Mengxia,Di Jiaying,Wang Weiguang,Wang Yadong,Chen Jie +5 more
- 08 Mar 2019
TL;DR: In this paper, a radar clutter suppression method based on machine learning is proposed, where a data set containing clutter and a target is generated by measured data to serve as input data, the input data ispreprocessed, after the preliminary processing, proper features and initial weights are selected for weighting, clustering is carried out, results of different categories are evaluated, and then the results are fed back to a characteristic weighting module for adjustment of weights until a set of weights and clustering numbers with the optimal evaluation indexes are found out.
1
Patent
Velocity ambiguity resolution method based on phase compensation
Wang Yadong,Hu Wen,Wang Weiguang,Zhao Yue,Xiong Qing +4 more
- 12 Jun 2020
TL;DR: In this article, a velocity ambiguity resolution method based on phase compensation is proposed, where the measured velocity is the real speed of the target at the moment, and the method is simple in calculation, abandonsthe redundant phase quantity, and facilitates the application and implementation of engineering.
1