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检索条件"机构=Tianjin Key Lab for Advanced Signal and Image Processing"

共 248 条记录，以下是141-150 订阅

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Spoofing Interference Suppression for GNSS Based on Estimating Steering Vectors

Spoofing Interference Suppression for GNSS Based on Estimati...

引用

第六届中国卫星导航学术年会

作者： Yaotian Zhang Lu Wang Wenyi Wang Dan Lu Qiongqiong Jia Renbiao Wu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

The paper proposes a spoofing interference suppression algorithm for multiple spoofing interferences existing simultaneously. First, the signals which received from the reference antenna array are captured. The information about visible satellite signals' Doppler frequency and code delay are acquired. Using these information, we can reconstruct the visible satellite signals. Then, the visible satellite signals' steering vectors are estimated by calculating cross-correlation between the estimated visible satellite signals and the antenna array received signals. Utilizing the normalized cross-correlation coefficients of the visible satellite signals' steering vectors to detect spoofing interference and its steering ***, the proposed algorithm constructs an orthogonal projection matrix based on spoofing interference' steering *** interference are suppressed by utilizing the constructed orthogonal projection *** proposed novel spoofing interference suppression algorithm can simultaneously suppress multiple spoofing interference, which does not need to know the array manifold in advance and the DOAs(Direction of Arrival) of satellite signals and spoofing interference.

关键词： spoofing interference·spoofing suppression·steering vector·GNSS

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Density Estimation of Unidirectional Crowds

Density Estimation of Unidirectional Crowds

引用

2014 International Conference on Computer,Communications and Information Technology(CCIT 2014)

作者： Liang Zhang Tao Deng Yaling Song Yi Fan Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781629939865

An improved pixel-based method is proposed in this paper aiming at density estimation for unidirectional crowds. It is a common situation that the crowd gathered facing towards the same orientation where hazardous events may be prone to occur due to high density, such as crowds gathered in front of a rostrum, crowds waiting at an entrance, flowing crowds in a passageway, etc. In these situations, the crowd density has a linear relationship with both the proportion of facial region to the foreground and the proportion of inner edges to the foreground edges. Based on above observations, we get a model and solve its parameters by multivariate statistical regression. The experiment shows the proposed method improves the accuracy of the commonly used pixel-based method especially for high-density crowds.

关键词： estimation of crowd density,unidirectional crowd,statistical regression,pixel-based method

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The DME Interference Mitigation Based Wavelet Thresholding Algorithm for L-DACS Receiver

The DME Interference Mitigation Based Wavelet Thresholding A...

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Xiangqing Peng Jiani Wang Lei Wang Haitao Liu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

The L-DACS operates as an inlay system between two adjacent channels of the Distance Measuring Equipment (DME) system since the spectrum resources in the L-band are scarce and fragmented. This DME signal severely impacts the performance of L-DACS. This paper proposes an approach for mitigating DME interference by integrating spectrum aggregation technology and a wavelet thresholding algorithm. To enhance spectral efficiency, the method utilizes direct wideband aggregation technology at the transmission end to expand the bandwidth. Then, at the receiving end of Orthogonal Frequency Division Multiplexing (OFDM), the received signal is decomposed layer by layer using the wavelet threshold algorithm. The difference between the spectrum-aggregated signal and the DME signal in the wavelet domain is effectively identified to reconstruct the DME signal, thereby achieving interference elimination. Simulation results demonstrate that this method improves spectrum efficiency and data transmission rate while significantly mitigating DME interference, thereby enhancing the link transmission reliability of the L-DACS system.

关键词： Time-frequency analysis Wavelet domain Simulation OFDM signal processing algorithms Interference Wavelet analysis Reliability L-band Wideband

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DACNet: Single image Dehazing Network Based on Attention Mechanism

DACNet: Single Image Dehazing Network Based on Attention Mec...

引用

Intelligent Communications and Computing (ICC), International Conference on

作者： Yongling Liu Ping Han Wanwei Wang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Aiming at the problem that atmospheric scattering model-based haze removal methods are prone to degradation of haze removal performance due to inaccurate parameter estimation, a single-image haze removal network based on the attention mechanism is proposed for direct restoration of haze-free images. The network consists of encoder and decoder, where the traditional convolution is replaced by combining dilated convolutions with different dilated rates for acquiring and processing haze-related image features. Due to the different weighted information contained in different channel features, an increased attention mechanism is used to enhance the feature representation of important channels through adaptive learning channel features, thereby enabling the encoder to pay more attention to channel information in the haze region. In the encoding and decoding structure, dilated convolution and attention mechanism are used in combination for image dehazing for the first time. By targeting the network to pay attention to the regions with high fog distribution while increasing the sensory field to obtain global information. The method presented in this paper improves the ability of network to process hazy images and brings a new breakthrough in the field of hazy image processing. Experiments show that the algorithm proposed in this paper achieves significant improvements in both subjective and objective indicators comparing with many state-of-the-art methods.

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Finger-vein image Restoration Based on Skin Optical Property

Finger-vein Image Restoration Based on Skin Optical Property

引用

2012 IEEE 11th International Conference on signal processing(ICSP 2012)

作者： Jinfeng Yang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

In this paper, a new finger-vein image restoration method is proposed to improve the quality of finger-vein images. In finger-vein imaging, light scattering is the main factor causing finger-vein image degradation, so dealing with scattering issue is helpful for finger-vein restoration. Traditionally, to remove the scattering effect, finger-vein restoration was often implemented using either an estimated point spread function （PSF） or an estimated biological optical model （BOM）. However, both PSF and BOM are incapable of representing the light scattering phenomenon in biological tissues. To reliably process the light scattering in finger-vein imaging, the multilayered PSF and BOM are integrated together in this paper considering the real structure of the human skin tissue. Using the proposed method, the finger-vein images can be progressively restored in a layered manner. The experimental results validate that the proposed method has a good performance in implementing finger-vein restoration.

关键词： image restoration finger-vein PSF scattering removal

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A low-complexity spoofing detection and suppression approach for ADS-B

A low-complexity spoofing detection and suppression approach...

引用

Integrated Communications, Navigation and Surveillance Conference, ICNS

作者： Wenyi Wang Geng Chen Renbiao Wu Dan Lu Lu Wang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

➢ Automatic Dependent Surveillance-Broadcast (ADS-B) is an Air Traffic Management (ATM) Surveillance system that is intended to replace traditional radar based system.

ISBN: (纸本)9781479989539

➢ Automatic Dependent Surveillance-Broadcast (ADS-B) is an Air Traffic Management (ATM) Surveillance system that is intended to replace traditional radar based system.

关键词： computer information security Spoofing Antenna arrays received signal Targets central element

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Interference Suppression with L1-norm Constraint for Satellite Navigation Systems

Interference Suppression with L1-norm Constraint for Satelli...

引用

第六届中国卫星导航学术年会

作者： Wenyi Wang Qingrong Du Renbiao Wu Dan Lu Lu Wang Qiongqiong Jia Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

Currently, there have been many studies of interference suppression for satellite navigation systems. Power minimization approach is an effective interference suppression algorithm. It forms automatically deep nulls in the DOAs(direction of arrival) of interferences without prior information about the DOAs of satellite signals and interferences. However, the power minimization approach can not provide flat gains in other directions. Thus there will be fluctuation in the beampattern, especially when the number of snapshots is not enough. It means that the desired satellite signal may be partly suppressed when they locate in the shallow nulls. In this paper, by combining eigenvalue thresholding method and l1-norm constraint, we propose a new interference suppression algorithm to suppress interferences and provide flat gains in all directions except that of interferences. The difference between the new algorithm and the conventional power minimization approach lies in the improvement of covariance matrix which is constituted based on the main eigenvalues and corresponding eigenvectors of covariance matrix. In addition, an explicit l1-norm constraint on the beam gains is exploited to provide flat gain in all directions except that of interferences. When there are interferences and spoofing, the spoofing is generally suppressed heavier than the authorized signal. It will decrease the power difference between the spoofing and authorized signals. Thus it will degrade the performance of subsequent spoofing detection. So the proposed algorithm also can be applied to the spoofing detection in satellite navigation systems. The simulations demonstrate the effectiveness of the proposed algorithm.

关键词： Satellite Navigation Flat Gains L1-norm Constraint Spoofing Interferences

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Time-frequency feature extraction and discrimination of targets in airport runway using GPR

Time-frequency feature extraction and discrimination of targ...

引用

Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)

作者： Yuzhong Zhong Renbiao Wu Jiaxue Liu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Cryptic disasters in airport runway will bring about serious accident like crash. In order to detect and recognize diseases timely, a time-frequency feature extraction method based on Wigner distribution is proposed in this paper. Since different targets have distinct energy distributions in the time-frequency domain, three time-frequency features are extracted, which are focused on the composition and the shape rather than the burial depth of target. Numerical results show that the proposed method is very effective.

关键词： Time frequency analysis Feature extraction Ground penetrating radar Shape Support vector machine classification Transforms

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Clutter Suppression of Wind Farm for Airborne Radar Based on EFA

Clutter Suppression of Wind Farm for Airborne Radar Based on...

引用

IEEE International Conference on Radar

作者： Ying Zhang Xinyun Zhang Weikun He Xiaoliang Wang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781665468893

With the rapid development of wind power generation, the clutter generated by wind farms may lead to the problems such as decreased detection probability, increased false alarm rate, and target track divergence. Research on the wind farm clutter mitigation technology for airborne radar is vital. Considering the special problems of the wind farm clutter mitigation for airborne radar, such as the less prior information and the more complicated spectrum of the echoes, it is difficult to suppress the wind farm clutter with non-Gaussian and dynamic characteristics. In this paper, the extended factored approach (EFA) algorithm is used to suppress the wind farm clutter through space-time adaptive processing of airborne array radar echoes. The EFA algorithm does not need the prior information of wind farm clutter or a large number of training data and can adaptively form null with a certain width in the Doppler domain. The null is used to suppress the wind farm clutter, which can avoid the interference of the wind farm clutter on the detection of aircraft targets and improve the detection probability of airborne radar. The experiment results verify the effectiveness of the proposed method.

关键词： Radar clutter Spaceborne radar Heuristic algorithms Airborne radar Adaptive arrays Training data Wind farms

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Infrared Small Target Detection Algorithm Based on Improved DeeplabV3+

Infrared Small Target Detection Algorithm Based on Improved ...

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Mengfei Qi Guimin Jia Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Infrared small target detection aims to segment small targets from the infrared images. Aiming at the problem of infrared small target detection, an improved algorithm is proposed based on DeeplabV3+ network. For the encoding part of DeeplabV3+, considering the small size of infrared small targets, the dilation rate of ASPP module is adjusted to capture the features of small targets more effectively. For the small targets are prone to lose spatial information during feature extraction, a location enhancement module is introduced to supplement accurate location information and to improve the accuracy of detection. In order to preserve detail information, an additional feature map is added from the backbone network to fuse detail information and semantic information for the decoding part of DeeplabV3+. Experimental results have demonstrated that the proposed algorithm is capable of enhancing the detection performance of DeeplabV3+ network in the infrared small target detection task.

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