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3rd International Conference on Signal Processing, Computer Networks and Communications, SPCNC 2024

作者： Liang, Yajun Yan, Su Ma, Qian Huang, Shunlun Liu, Xin China Aerodynamics Research & Development Center Sichuan Mianyang China Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing China State Key Laboratory of Air Traffic Management System Beijing China Beijing Aviation Meteorological Institute Beijing China

ISBN: (纸本)9798400710834

To enhance the convergence capability of grey wolf optimizer (GWO), this research investigates an evolved GWO using weighted-leader strategy (WLS), namely WLSGWO. The key issue of WLS is realizing the adaptive adjustment of position weighting according to the control parameters, thus well overcoming the drawback of premature convergence in the basic GWO. The newly developed method’s performance is assessed through experiments conducted on a standardized test suite. Additionally, comparisons are made by utilizing GWO alongside other advanced optimization techniques. The results of non-parametric studies validate the outperformance of the WLSGWO, thus proving the efficiency of the proposed strategy. © 2024 Copyright held by the owner/author(s).

关键词： Swarm intelligence

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Moving Target Trajectory Reconstruction Based on the LM Algorithm in WasSAR system

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Chen, Jingwei An, Daoxiang Ge, Beibei Chen, Leping Zhou, Zhimin National University of Defense Technology College of Electronic Science and Technology Changsha410073 China Science and Technology on Complex Aviation System Simulation Laboratory Beijing100076 China

Wide-angle staring synthetic aperture radar ground moving target indication (WasSAR-GMTI) has garnered attention due to its capability to monitor a stationary area over an extended period and its ability to track moving targets. Recently, the research on moving target trajectory reconstruction has also raised interest. However, the low positioning accuracy and impractical assumption of the traditional method make it hardly a practical application. We propose a novel precise trajectory reconstruction of a moving target in this article. First, we segment the echo into subapertures, after clutter rejection and radial velocity estimation, quasi-maximum likelihood (QML) is applied to estimate the polynomial phase signal (PPS) parameters of the phase history. Then, the Levenberg-Marquardt (LM) algorithm is applied to decouple the motion parameters. Based on the motion parameters, the coarse trajectory can be reconstructed. After that, the envelope history of the moving target is extracted. Modeling the motion trajectory of the moving target in segments and estimating the trajectory of each segment using the corrected envelope history and coarse trajectory. Finally, after processing all segments, the precise trajectory of the moving target is obtained. The effectiveness and practicability of the proposed algorithm were demonstrated by the processing results of experimental wide-angle staring synthetic aperture radar (WasSAR) data. © 1980-2012 IEEE.

关键词： Polynomials

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Architecture analysis for avionics prognostics and health management system

Architecture analysis for avionics prognostics and health ma...

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2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2021

作者： Chen, Runfeng Hu, Yang Hou, Yanze Beijing China Science and Technology on Complex Aviation System Simulation Laboratory 9236 Beijing China

ISBN: (纸本)9781665401159

Prognostics and Health Management (PHM) has been researched on for recent years, and extensive studies have been done on hot topics into this field, such as diagnostics, prognostics, and decision making. However, how to evaluate PHM system architecture is still lacking. This is particularly important when designing avionics system equipped with PHM functions. We propose a general, time-variant architecture model that can simulate PHM system. Performance metrics are calculated to quantitatively evaluate the system architecture. This is useful to find differences of architectures in the earlier design stage in engineering. A case study is presented of the use of architecture modelling to show the effectiveness. And future works are discussed. © 2021 IEEE.

关键词： Decision making

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Game Analysis of Software Development Price 3

Game Analysis of Software Development Price

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3rd International Conference on Computer Engineering and Intelligent Control, ICCEIC 2022

作者： Wang, Hongpo Shao, Shuai Lin, Jia Science and Technology on Complex Aviation System Simulation Laboratory Beijing China

How to effectively control the cost of software development and improve the cost efficiency has always been the focus of party A. Software cost estimation process is discussed in this paper, we studied the purchasing behavior of both sides, based on the game theory to build the party A and party B the purchase price game model of the enterprise, won the party A and party B to take different strategies of Nash equilibrium, the two sides are discussed under different parameters of the strategy, the analysis result was combing inductive. It is pointed out that demonstration + price review is the best choice of party A's price control method, which can reduce the cost of audit and have a deterrent effect on party B's enterprises, so as to standardize the quotation behavior of enterprises. The analysis also points out that the control of software development cost should be balanced comprehensively, and economic benefit should not be emphasized blindly. © 2022 Copyright for this paper by its authors.

关键词： Cost estimating

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Distributed Opportunistic Channel Access Under Single-Bit CSI Feedback 6th

Distributed Opportunistic Channel Access Under Single-Bit CS...

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6th EAI International Conference on IoT as a Service, IoTaaS 2020

作者： Wang, Tongtong Zhang, Zhou Guo, Jing Tianjin China Science and Technology on Complex Aviation System Simulation Laboratory Beijing China

ISBN: (纸本)9783030675134

In this research, the problem of distributed opportunistic channel access is investigated under single-bit channel state information (CSI) feedback in ad hoc networks. In finding an optimal strategy achieving the maximum average system throughput, the optimal stopping approach is used, and an optimal strategy is proposed. In it, each winner source decides when to take transmission opportunity based on singe-bit feedback information. Moreover, an optimal quantization vector is also derived for the strategy. Interestingly, it is pure-threshold based, and the optimal quantization vector is fixed. All thresholds can be calculated off-line, and easy implementation is available. Through simulation, the effectiveness and efficiency of the optimal strategy are also verified. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Vector quantization

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Radar Signal Detection Based on Ambiguity Function and Deep Learning 2

Radar Signal Detection Based on Ambiguity Function and Deep ...

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2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Lv, Fengrong Dong, Zeyu Wan, Tao Jiang, Kaili Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

The ambiguity function describes the joint characteristics of the signal in the time domain and the frequency domain, and is usually used for signal recognition. The time domain and frequency domain distribution of noise is more spurious than the signal. Its ambiguity function can also reflect its characteristics. However, the direct use of the ambiguity function as the signal feature will increase the amount of calculation of the detection system, so slice it, which reduces the burden on the system for detecting signal information while preserving the information. At the same time, the radar signal detection based on neural network can avoid the influence of artificially setting the threshold on the detection performance of the system. So, we propose an algorithm for inputting the extracted fuzzy function slice sequence into a neural network to realize signal detection. simulation proves that when the signal-To-noise ratio of the received signal is very low, our proposed method still has a high detection probability. © 2021 IEEE.

关键词： Signal detection

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Semi-supervised Open-set Recognition of Radar Active Jamming

Semi-supervised Open-set Recognition of Radar Active Jamming

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2021 CIE International Conference on Radar, Radar 2021

作者： Li, Hao Fang, Xueli Zhang, Lei Kang, Hui Zhang, Wei School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665498142

With the emergence of various kinds of complex radar jamming, radar jamming intelligent recognition technology has increasingly become the key to electronic counter-counter measures. To achieve radar jamming open-set recognition with a small number of tagged samples, Generative adversarial network-based pseudolabeled convolutional neural network (GAN-PL-CNN) model is proposed in this paper. Firstly, radar jamming is modelled, and the radar jamming datasets with known and unknown types are established after time-frequency transformation and image processing. Then, the adaptive pseudolabeling method is used to achieve semi-supervised recognition of radar jamming by combining the learning capability of convolutional neural networks and the characteristics of pseudolabeling to increase labeled samples intelligently. Finally, generative adversarial networks are introduced to enhance the recognition ability of the model and the discrimination ability of the unknown type through the game between the generator and the discriminator in the iterative process. Experimental results show that the GAN-PL-CNN model achieves 89.7%-95.1% for known types and 30.7%-86.8% for unknown types at 3%-6% labeling rate. As the number of labeled samples increases, the recognition effect becomes better and has a greater ability to exclude unknown type. © 2021 IEEE.

关键词： convolutional neural network open-set recognition pseudo-label Radar active jamming

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Radar Signal Modulation Recognition Based on Bispectrum Features and Deep learning 2

Radar Signal Modulation Recognition Based on Bispectrum Feat...

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2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Dong, Zeyu Lv, Fengrong Wan, Tao Jiang, Kaili Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

Signal bispectral transformation can not only suppress the influence of Gaussian white noise on signal modulation recognition, but also retain the signal amplitude and phase information. It is also used to extract the non-linear characteristics. Compared with other high-order spectra, bispectrum has a simple processing flow. However, the direct use of all bispectrum as signal features will lead to two-dimensional template matching, causing lots of calculations. Converting two-dimensional bispectrum into one-dimensional sequence, for example, extracting slice information of bispectrum, or using integral bispectrum apparently reduce the amount of data to be processed while retaining part of the bispectrum information. We input the extracted bispectral transformation of radar signals into the neural network to realize modulation recognition. The simulations validate our conclusions that our proposed methods still have a high recognition probability while SNR is low. © 2021 IEEE.

关键词： Template matching

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Multi-View Subspace Clustering Via Simultaneously Cycle Projection and Similarity Learning 21

Multi-View Subspace Clustering Via Simultaneously Cycle Proj...

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21st International Computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2024

作者： Tao, Xiang Jie, Liu Wenshen, Qiao Siying, Xiao Mao, Ye Southwest China Institute of Electronic Technology National Key Laboratory of Complex Aviation System Simulation Chengdu610036 China University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798331519254

At present, most of the existing methods combine the data from different views mechanically to obtain the latent subspace with complementary information, which not only fails to make full use of the data information from specific perspectives but also brings redundancy. Therefore, we propose a novel multi-view subspace clustering method. It utilizes cycle projection to obtain a subspace construction model. At the same time, by learning the global structure and local manifold structure of this subspace while assigning learnable weights to different views, the consensus information among views and specific information from different views are captured according to the importance of different views. In this way, our method effectively reduces the original noise and redundancy, and further carries out the improvement of complementarity and consistency among views. The proposed method is optimized by using the Augmented Lagrangian Multiplier with Alternating Direction Minimization (ALM- ADM) algorithm. Experiment results on benchmark datasets confirm the effectiveness of our method. © 2024 IEEE.

关键词： Contrastive Learning

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Architecture analysis for avionics prognostics and health management system

Architecture analysis for avionics prognostics and health ma...

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Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), CAA Symposium on

作者： Runfeng Chen Yang Hu Yanze Hou Qian Xuesen Laboratory of Space Technology China Academy of Space Technology (CAST) Beijing China Science and Technology on Complex Aviation System Simulation Laboratory 9236 Beijing China

ISBN: (纸本)9781665401166

关键词： Measurement Analytical models system performance Fault detection Decision making systems architecture Aerospace electronics

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