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

作者： Jie Li Renbiao Wu Wenyi Wang Dan Lu College of Electronic and Information Engineering Tianjin University Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781467321969

The signal multipath effect is one of the main reasons which lead to positioning error in the Global Positioning System （GPS）. Although the differential technology can improve the positioning accuracy, the differential GPS system still can’t eliminate the positioning error caused by multipath signals, the reference stations and users being in different geographical environment. In the light of the GPS multipath signal model, this paper presents a GPS time delay estimation algorithm based on signal separation estimation theory. Firstly, Doppler frequency is estimated when the signal delay is unknown. Then, we use the estimated Doppler frequency to get signal delay information with signal separation estimation theory. In addition, we consider the previous estimated results as the initial value and a two-dimension optimization method is implemented in a small range for further improving the estimation accuracy. It can be shown from the simulation results that this method which is able to effectively eliminate the multipath has a better performance compared with the conventional method and narrow correlator spacing algorithm.

关键词： signal multipath time delay fine estimation signal separation estimation theory multipath mitigation

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A Probabilistic Conflict Detection Algorithm in Terminal Area Based on Three-Dimensional Brownian Motion

A Probabilistic Conflict Detection Algorithm in Terminal Are...

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

作者： Lei Shi Renbiao Wu School of Electronic Information Engineering Tianjin University Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)9781467321969

In this paper, two common encounter geometries of aircrafts in terminal area are discussed. Probabilistic modes for aircraft motions are developed based on three-dimensional Brownian motion. The two common encounter geometries can be expressed in the same formula. After the non-orthogonal and orthogonal transformations, three-dimensional Brownian motion is standardized and the formula is simplified to derive the analytical solution. The conflict probability is equal to the probability that a standard three-dimensional Brownian motion hits a time-varying region. An approximation algorithm is given based on Bachelier-Levy theorem to get the analytical expression of conflict probability.

关键词： probabilistic conflict detection air traffic controllers terminal area three-dimensional Brownian motion

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A robust estimation method for InSAR interferometric phase

A robust estimation method for InSAR interferometric phase

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2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009

作者： Li, Hai Liao, Guisheng Wu, Renbiao Tianjin Key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China National Lab. of Radar Signal Processing Xidian Univ. Xi'an 710071 China

ISBN: (纸本)9781424427314

In this paper, a robust method for synthetic aperture radar interferometry (InSAR) interferometric phase estimation is introduced. In the method, the optimal joint data vector is determined, the generalized correlation steering vector is computed according to the data vector, and then the beamforming technique with the steering vector is used to estimate the InSAR interferometric phase. The method can carry out image coregistration and interferometric phase estimation simultaneously. ©2009 IEEE.

关键词： Beamforming

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Multi-scale Fusion and Estimation for Multi-resolution Sensors

Multi-scale Fusion and Estimation for Multi-resolution Senso...

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

作者： Yuemin Li Renbiao Wu Tao Zhang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China School of Electronic and Information Engineering Tianjin University

ISBN: (纸本)9781467321969

On the basis of theory for Discrete Wavelet Transform (DWT) of signal statistical characteristics and Dynamic Multi-scale System (DMS) of the state transition model, a novel algorithm for multi-scale fusion and estimation with multi-resolution sensors is derived. In order to construct a uniform resolution model of Kalman Filter, the equations of state and measurement are processed with DWT at different resolution levels, and then the measurements of the same resolution level are fused and filtered. Experimental results indicate that the proposed method is more effective than other existing algorithms.

关键词： dynamic multi-scale system discrete wavelet transform fusion and estimation Kalman filter

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Symbol error performance analysis of OFDM receiver with pulse blanking over frequency selective fading channel

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Journal of Communications 2016年第3期11卷 325-332页

作者： Liu, Hai-Tao Yin, Zhi-Sheng Zhang, Xue-Jun Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin30030 China College of Electronic and Information Engineering BeiHang University Beijing100191 China

Pulse blanking is a widely used method to eliminate impulsive interference in orthogonal frequency division multiplexing (OFDM) receiver. To analyze the effect of Inter Carrier Interference (ICI) caused by pulse blanking on the performance of symbol error rate (SER) for OFDM receiver, the analytical expression of signal to noise ratio (SNR) for OFDM receiver with pulse blanking is derived. The SER of OFDM receiver with pulse blanking over AWGN, Rayleigh and Ricean fading channel are also analyzed quantitatively based on the SNR expression. Simulation results validate the accuracy of our derived formulas. © 2016 Journal of Communications.

关键词： signal to noise ratio

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A two stage GPS anti-jamming processor for interference suppression and multipath mitigation

A two stage GPS anti-jamming processor for interference supp...

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IEEE 2007 Radar Conference

作者： Dan, Lu Renbiao, Wu Zhigang, Su Wei, Huang Tianjin Key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China National Key Lab. for Radar Signal Processing Xidian University Xi'an 710071 China

ISBN: (纸本)1424402840

Global Positioning System (GPS) has found wide application in many areas. However, due to the low power of the received signal, GPS is susceptible to a variety of interferences and multipath. In this paper, a two stage GPS anti-jamming processor based on adaptive arrays is proposed. Firstly, the array received signals are projected onto the orthogonal subspace corresponding to interference to suppress interferences. Then the interference free signals are further processed by a conventional data-independent beamforming to enhance the GPS direct-path signal and mitigate GPS multipath signals. Simulation results are provided to demonstrate the performance of the proposed algorithm. © 2007 IEEE.

关键词： Global positioning system

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Further results on peak sidelobe control in adaptive arrays

Further results on peak sidelobe control in adaptive arrays

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2006 CIE International Conference on Radar, ICR 2006

作者： Wu, Renbiao Wang, Zhisong Lu, Dan Feng, Qing Li, Jian Tianjin Key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China

ISBN: (纸本)0780395824

Adaptive arrays (or adaptive beamformers) are now widely used in radar, sonar, and communications to suppress various kinds of interference. In radar applications, adaptive beampatterns with low sidelobes and stable mainlobe shapes are desired so as to mitigate pulsed deceptive jammers or sidelobe targets and to accurately measure the direction-of-arrival (DOA) of a target using monopulse techniques. In practice, there are many kinds of data modeling errors that would degrade the performance of adaptive arrays. In this case, adaptive beamformers tend to suffer too much performance degradation (poor interference rejection, distorted mainlobes and high sidelobes). We have previously proposed a quadratical constraint based method, referred to as Integrated Peak Sidelobe Control (IPSC), which can precisely control the peak sidelobes and produce stable mainlobe shapes of adaptive beampatterns. In this paper, the effects of target signals on IPSC are investigated and a signal removal scheme is given to further improve its performance. The performance of IPSC is also compared to the more recently devised second-order cone programming (SOCP) based new approach, referred to as Distributed Peak Sidelobe Control (DPSC). Numerical results indicate that IPSC outperforms DPSC in both the interference rejection performance and the beampattern control quality. Moreover, the former is computationally far more efficient than the latter ?© 2006 IEEE.

关键词： Array processing

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Iris recognition based on local feature point matching

Iris recognition based on local feature point matching

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2006 International Symposium on Communications and Information Technologies, ISCIT

作者： Zhu, Ruihui Yang, Jinfeng Wu, Renbiao Tianjin Key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China

Recently, iris recognition has been paid more attention due to its high reliability in personal identification. But iris feature extraction is easily affected by some practical factors, such as inaccurate localization, occlusion, nonlinear elastic deformation and so on. In order to solve the problem, this paper presents an efficient algorithm of iris feature extraction based on scale invariant feature transform (SIFT). Experimental results show that the proposed algorithm can reduce iris preprocessing, describe iris local properties effectively and have encouraging iris recognition performance. © 2006 IEEE.

关键词： Feature extraction

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Tracking object using object-strips color feature

Tracking object using object-strips color feature

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WASE International Conference on Information Engineering

作者： Zhang, Liang Wu, Rong Tianjin Key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China

ISBN: (纸本)9780769540801

The paper presents a new tracking scheme based on the object-strips color (OSC) feature. Firstly, the images captured by the camera are transformed into a format which is suitable for object tracking. Secondly, background subtraction method is used to detect the moving object. Then the OSC feature is represented by dividing the detected object into several strips and integrating the mean hue of each strip into a one-dimensional vector. Finally, the detected object is tracked by matching the OSC features using correlation coefficient criteria. Since the OSC feature includes both color and spatial distribution information of the detected object, the proposed method is more reliable than traditional color-based tracking algorithms. Furthermore, the OSC feature, which is a one-dimensional vector, is so simple that can satisfy the real-time requirement in video surveillance easily. The experimental results show that the proposed method has a good performance for tracking objects. © 2010 IEEE.

关键词： Object detection

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A novel algorithm of time-registration for 4D trajectory based on GNSS's time

A novel algorithm of time-registration for 4D trajectory bas...

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2006 International Symposium on Communications and Information Technologies, ISCIT

作者： Fengxun, Gong Yanqiu, Ma Tianjin key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China

Worldwide air traffic levels are growing at a rate expected to double the current traffic level. In order to control and ensure the aircrafts, most large airport surface have multisensors coverage, with not necessarily synchronized sensors, so a data fusion scheme is essential to provide a coherent and stable output. The multi-sensors include radars, VHF data link, and satellites, and form a surveillance network. The current technology Air Traffic Control fusion systems are stretched to their limit and are prone to large delays during the peak summer travel season. There is doubt that the current systems can be scaled up to meet the expected demand levels and surveillance trajectory. Many Air Traffic Management automation systems have been proposed to increase controller capability, and some are in operation. While ATM automation systems will help handle more traffic, it is still doubtful that they can grow to meet the doubling in traffic levels foreseen. In order to complete the function, the data come from the multi-sensors must be processed and then fused, so that the fusion trajectory comes into being. Fusion data come from PSR, SSR, ADS and VDL, time-scales are different. Before the 4D fusion trajectory comes into view, time-registration of the data must be implemented. Thereby registration is the vital problem for the data fusion of the multi-sensors network. This paper presents a novel algorithm of time-registration for 4D trajectory based on GNSS's time for ATM. Because of the difference of surveillance data's time-scales, general timeregistration methods have many difficulties and risks for so many kind data. We find that there is connection between the surveillance data and GNSS's time, so the data's time-scales can be unified to GNSS's time benchmark respectively, and then the unified data can be fused, the 4D fusion trajectory comes true. Using the GNSS's time fusion systems can further improve the controller trajectory accuracy and can be used to increa

关键词： Controllers

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