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检索条件"机构=Science and Technology on Blind Signals Processing Laboratory"

共 197 条记录，以下是91-100 订阅

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Overlapping Signal Separation in DPX Spectrum Based on EM Algorithm

Overlapping Signal Separation in DPX Spectrum Based on EM Al...

引用

2015 2nd International Workshop on Materials Engineering and Computer sciences(IWMECS 2015)

作者： Chuandang Liu Luxi Lu National Key Laboratory of Science and Technology on Blind Signal Processing

Overlapping signal separation in spectrum is a difficult problemWe use Gamma Mixture Model to formulate the distribution of signal power in each frequency bin of digital phosphor technology(DPX) spectrumThen Expectation Maximization(EM) Algorithm is used to solve the modelSimulation results show that when CIR is greater than 2.7d B, parameters' estimation error rate of this algorithm is less than 1e-5.

关键词： Gamma Mixture Model EM Algorithm DPX

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The Phase Compensation Methods of Distributed Radar Systems

The Phase Compensation Methods of Distributed Radar Systems

引用

2015 International Conference on Computer Information Systems and Industrial Applications(CISIA2015)

作者： M.Ding T.Sun National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781510805750

The distributed radar system is a solution to detect small targets in the *** how to effectively accumulate the received signals from different radar stations is a challenging *** signals influenced by different time-delay,Doppler frequency and reflection coefficient will have different phases before *** this thesis,we study the phase compensation methods to eliminate the effects caused by these factors.

关键词： distributed radar system phase compensation timedelay Doppler frequency reflection coefficient

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Specific Emitter Identification based on linear polynomial fitting of the energy envelope

Specific Emitter Identification based on linear polynomial f...

引用

International Conference on Electronics Information and Emergency Communication

作者： Fei Zhuo Yuanling Huang Jian Chen Science and Technology on Blind Signal Processing Laboratory Chengdou China

ISBN: (纸本)9781509019984

Specific Emitter Identification (SEI) is the technique that identifies the individual radio emitter using the Radio Frequency Fingerprint (RFF), which are originated from the imperfections and differences of transmitters. Previous SEI techniques are sensitive to noise and need enough sampled points. In this paper, a novel SEI approach to extracting fingerprint features of energy envelope of transient signals is proposed. A linear system model is utilized to fit the energy envelope, and the fingerprinting features are constructed by the polynomial coefficients estimated with least-squares algorithm. The results of experiments on actual burst signals demonstrate that the method is effective.

关键词： Feature extraction Transient analysis Fingerprint recognition Linear systems Radio transmitters Transforms Wireless communication

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Direct Position Determination by Double Fixed Station Based on Delay and AOA

Direct Position Determination by Double Fixed Station Based ...

引用

2017 2nd International Conference on Control, Automation and Artificial Intelligence(CAAI2017)

作者： Xiangyu Liu Qing He Zhengbo Sun National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781510845541

To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's information loss, since two-step conventional method divides in estimating intermediate parameter and geolocation. First, the observed signal model is analyzed and problem's mathematical model is generalized. Next, the cost function is formulated based on maximum likelihood estimator(MLE) and simplified as the maximal eigenvalue of hermite matrix. Then, the geographical location maps in twodimensional sector-grid based on angel of arrival(AOA), afterward, the algorithm process is introduced. Finally, simulation results demonstrated that the proposed DPD algorithm outperforms the two-step conventional algorithm in location accuracy, and when signal to noise ratio(SNR) of the same observed signals is-5 dB, the root mean squared error(RMSE) of proposed algorithm reduce the errors of 47% in typical scene.

关键词： passive localization direct position determination(DPD) maximum likelihood estimator(MLE) passive localization time delay angel of arrival(AOA)

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The Application of HBF in Small Aperture OTHR

The Application of HBF in Small Aperture OTHR

引用

International Congress on Image and Signal processing

作者： Yu Jia Qing He Lai Yuan Luo National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781467390996

Due to the decrease of azimuth resolution and array gain, the performance of small aperture over the horizon radar (OTHR) is not as good as the conventional OTHR. Therefore, it is necessary to find a new method to improve array performance of small aperture OTHR to satisfy the requirements of target detection. In this paper, conclusions on the performance losses are obtained by deducing the expression of signal to clutter ratio (SCR) under small aperture OTHR receiving condition. Based on the conclusions, Hyper Beam, which is derived from sonar array processing, are applied to improve the performance of small aperture OTHR. Eventually, experimental simulations are given to verify our conclusions.

关键词： HBF Small aperture OTHR UCA SCR UCA Thyristors Fetal Hemoglobin apertures azimuth resolution Object detection

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Low Altitude, Slow Speed and Small Size Object Detection Improvement in Noise Conditions Based on Mixed Training

Low Altitude, Slow Speed and Small Size Object Detection Imp...

引用

2018 3rd International Conference on Communication,Image and Signal processing（CCISP 2018）

作者： J.F.Que H.F.Peng J.Y.Xiong National Key Laboratory of Science and Technology on Blind Signal Processing

The low altitude, slow speed and small size object which we call LSS-object for short, such as small UAV(unmanned aerial vehicles) have become a hot issue of air defense security, which is difficult to detect and identify accurately from the image. In this paper, aiming at the problem of LSS-object detection under noise environment, the detection method based on deep learning is proposed. Firstly, a standard training dataset consisting 5 classes of typical objects is constructed. Then, the standard dataset is augmented with noise of different intensity. Finally, YOLO v3 algorithm is used to form a LSS-object detection system which can adapt to environment noise. The training and detection experiments were carried out on the GPU server. After only using the noise-free dataset for training, the mAP(mean Average Precision) of the noise-free test set detection reached 81.07%, but the mAP decreased to 20.68% when the noise variance was *** adopting the mixed training strategy of the dataset with noise variance of 0.01 and noise-free data, the mAP for the test set detection with noise variance of 0.03 was increased to 70.61%, and the mAP still reached 79.85% in noise-free test set detection. The experiment results show that the mixed training strategy can greatly improve the accuracy in the noisy images detection while maintaining a higher accuracy in noise-free images.

关键词： image LSS Low Altitude Slow Speed and Small Size Object Detection Improvement in Noise Conditions Based on Mixed Training Object

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Freshet Method for Wideband Spectrum Sensing

Freshet Method for Wideband Spectrum Sensing

引用

2016 International Conference on Computer Engineering,Information science and Internet technology(CII 2016)

作者： CHUANDANG LIU LUXI LU JIAN CHENG National Key Laboratory of Science and Technology on Blind Signal Processing

This paper presents a new method for automatic wireless spectrum segmentation. Spectrum segmentation is regarded as the first step to extract signals of interest in wideband spectrum, and it aims to identify the boundaries between sub-band signals. The proposed Freshet Method, based on the Power Spectral Density(PSD) quantization and Connected Components(CC) detection, is designed for a better spectrum segmentation performance. This method is validated on satellite signals, and the testing result shows a better accuracy of the sub-band boundary estimation than the other published methods.

关键词： PSD Matrix Freshet Method for Wideband Spectrum Sensing

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Reconstruct LDPC Codes in a Noisy Environment

Reconstruct LDPC Codes in a Noisy Environment

引用

2015 IEEE International Conference on Progress in Informatics and Computing(PIC 2015)

作者： Xin Bao Yuanling Huang Guiliang Wang National Key Laboratory of Science and Technology on Blind Signal Processing

Focus on the problem of reconstructing LDPC codes in a noisy environment, an algorithm based on Column Elimination Operation, Parity-Check Vector Judgment Criterion and Gradual Row Transformation is proposed, which is used to blind recognize LDPC codes. This algorithm first gets enough dual vectors of the receive codes, then selects real parity-check vectors of the dual-space of LDPC codes, and then, detectives and deletes the error code words. The above steps are iteratively carried out until the original problem is reduced to an easier problem, i.e., blind recognition LDPC codes in an error-free context, and finally obtain the sparse parity-check matrix by using Gradual Row Transformation. The simulation and experiment results show that, this algorithm fits most of LDPC standards, including 802.16 e, 802.11 n, DVB-S2, GJB7296, GB20600, etc., and it is an effective solution for LDPC codes blind recognition in a noisy environment.

关键词： channel coding LDPC codes blind recognition error bit

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A Self-Adaptive Modified Whale Optimization Algorithm for Optimizing the Linear Antenna Array

A Self-Adaptive Modified Whale Optimization Algorithm for Op...

引用

International Conference on Measuring technology and Mechatronics Automation, ICMTMA

作者： Wentao Feng Kekang Song National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Sichuan Chengdu China

ISBN: (数字)9781728170817

ISBN: (纸本)9781728170824

The whale optimization algorithm (WOA) is an effective algorithm for solving complex optimization problem. Its unique search mechanism results in better exploitation than exploration capability which means that it's easy to get trapped in the local optima. A self-adaptive modified whale optimization algorithm named of SAMWOA is proposed. A self-adaptive quasi-opposition method and novel population updating mechanism is integrated into the whale optimization algorithm to improve the solution accuracy. Finally, the proposed algorithm is utilized in optimizing the radiation pattern of a 16-element linear antenna array. The experimental results show that SAMWOA algorithm can reduce the sidelobe level obviously.

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A data-assisted adaptive detection algorithm for shortwave burst signals 5

A data-assisted adaptive detection algorithm for shortwave b...

引用

5th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2022

作者： Yi Wei, Feng Wen Zhong, Qu Yan, Zhao Yu Mei, Zhou Pla Strategic Support Force Information Engineering University College of Information System Engineering Zhengzhou China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

For shortwave signals with unique code frame structure, a data-assisted adaptive burst detection algorithm is proposed in this paper. The algorithm weakens the high bottom-noise undulation of signal correlation values due to shortwave channel fading by using a locally normalized sliding differential correlation. Also based on this, an adaptive gate limit detection strategy based on sliding window comparison judgments is used to improve the burst detection accuracy. This paper focuses on the effects of signal-to-noise ratio and shortwave channel environment on the performance of this algorithm, and simulation experiments are conducted under different conditions. The simulation results show that the algorithm has good robustness and can still achieve good detection results in the case of low signal-to-noise ratio as well as short-wave poor channels. © 2022 IEEE.

关键词： Fading channels

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