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2010 2nd International conference on signal processing System(2010年信号处理系统国际会议 ICSPS 2010)

作者： Lou Hao Zhang Lefeng Dept.of Communication Engineering Engineering College of CAPF Xi'an China ATR Key Lab National University of Defense Technology Changsha China

Researches on target detection are mainly focus on the amplitude characteristics nowadays. Sometimes the only use of amplitude characteristics is not enough to describe the signal, so that the target detection performance is usually poor. In this essay a method to make use of the information "hidden" in the signal phase is put forward, the theory is based on polynomial fitting of the signal phase train structure. At last, the method is validated using actual data.

关键词： small target detection Phase information Polynomial fitting

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A novel brain-computer interface based on the rapid serial visual presentation paradigm

A novel brain-computer interface based on the rapid serial v...

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32nd Annual International conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Acqualagna, Laura Treder, Matthias Sebastian Schreuder, Martijn Blankertz, Benjamin Univ Genoa Genoa Italy Berlin Inst Technol Machine Learning Lab Berlin Germany Fraunhofer FIRST Intelligent Data Anal Grp Berlin Germany

ISBN: (纸本)9781424441242

Most present-day visual brain computer interfaces (BCIs) suffer from the fact that they rely on eye movements, are slow-paced, or feature a small vocabulary. As a potential remedy, we explored a novel BCI paradigm consisting of a central rapid serial visual presentation (RSVP) of the stimuli. It has a large vocabulary and realizes a BCI system based on covert non-spatial selective visual attention. In an offline study, eight participants were presented sequences of rapid bursts of symbols. Two different speeds and two different color conditions were investigated. Robust early visual and P300 components were elicited time-locked to the presentation of the target. Offline classification revealed a mean accuracy of up to 90% for selecting the correct symbol out of 30 possibilities. The results suggest that RSVP-BCI is a promising new paradigm, also for patients with oculomotor impairments.

关键词： RSVP-BCI brain-computer interface brain-computer interfaces central RSVP paradigm covert nonspatial selective visual attention medical signal processing neurophysiology oculomotor impairments rapid serial visual presentation rapid symbol bursts visual BCI visual evoked potentials

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Slow movement small target detecting method base on frame correlation

Slow movement small target detecting method base on frame co...

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2010 International conference on Mechanic Automation and Control Engineering, MACE2010

作者： Wei, Min Chen, HaiNing Wu, QinZhang Xu, Bin College of Computer Science Chengdu University of Information Technology Chengdu China Institute of Optics and Electronics Chinese Academy of Sciences Chengdu China

ISBN: (纸本)9781424477388

For inter-frame motion characteristics of slowly moving small target, this paper is proposed a target detection algorithm based on relevant frames. This method use improved spatial high-pass filter for image pre-processing to improve signal to noise ratio of small targets;extract candidate target point by binary segmentation, and then conduct inter-frame correlation to binary image. Correlation is inter-frame corresponding to pixels in a neighborhood, and results stored in the tag matrix m, the matrix elements stand for the times of successful correlation. Here we use the rules of k/n rule to determine the outpu of the tag matrix, that is, if the n frames has k frames correlation successful, then the point is a candidate target. The advantage of this approch is: the short-term loss of target in the image sequence does not affect the detection effect, at the same time, overcome the high noise impact on small targets. Test results show that the method is a robust and efficient approach. ©2010 IEEE.

关键词： signal to noise ratio

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单点高密度地震数据处理分析与初步评价

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石油地球物理勘探 2010年第2期45卷 201-207页

作者：张永刚王赟尹军杰中国石油化工股份公司科技开发部北京100728 中国科学院地质与地球物理研究所北京100029 中联煤层气国家工程研究中心北京100011

文中结合数值模拟和实测数据,从分辨率、信噪比和数据处理的角度剖析了单点高密度地震数据与常规地震数据的区别,通过剖析数据处理流程各阶段的特点,对单点高密度地震数据的处理特点进行了总结,阐述了单点高密度地震数据的计算效率。认... 详细信息

文中结合数值模拟和实测数据,从分辨率、信噪比和数据处理的角度剖析了单点高密度地震数据与常规地震数据的区别,通过剖析数据处理流程各阶段的特点,对单点高密度地震数据的处理特点进行了总结,阐述了单点高密度地震数据的计算效率。认为对于单点高密度地震资料处理,需要根据小空间采样间隔、高保真、低/无假频、宽频带、低信噪比等特点选择合适的处理模块,并得出以下认识:①单点高密度采集有利于实现全波场的无假频采样,提高频带宽度,为实现无假频去噪和有效信号的高保真处理奠定基础,有利于提高复杂构造、大倾角构造和小尺度勘探目标的成像精度;②野外或室内组合法都可以有效压制面波和随机噪声,但室内组合优于野外组合,能保持更宽的频带,且使用灵活;③单点高密度数据使得现有处理软件去噪模块的去噪效果更好。

关键词：单点高密度组合面波偏移数据处理计算效率

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ISR Sensor processing and data Exploitation

ISR Sensor Processing and Data Exploitation

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IEEE Radar conference

作者： David R. Martinez ISR Systems and Technology Division MIT Lincoln Laboratory

ISBN: (纸本)9781424458110

Intelligence, Surveillance, and Reconnaissance, commonly abbreviated as ISR, refers to the system of sensors (data collection assets) and data analysis and dissemination resources used to provide information about strategic and tactical threats. The advances in ISR sensor technologies and the large amount of data generated from ISR systems are putting a significant demand on signal processing and data exploitation. For example, an electro-optical system can easily generate several billion bits per second while searching an area the size of a small city. Therefore, onboard front-end signal processing is needed to reduce the amount of information to a manageable size and to make the outputs compatible with existing and future communication links. Similarly, there is increasing interest in allowing data exploitation on board the platforms. This talk will address examples of front-end signal processing, demands in data exploitation, and associated high-performance embedded computing for ISR systems. The discussion will conclude with an emphasis on graph exploitation approaches to address the conversion of sensor information into knowledge that military forces and/or strategic analysts can act on in a timely manner.

关键词： ISR Sensors signal processing exploitation

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Study on adaptive monopulse with reduced dimension STAP technique

Study on adaptive monopulse with reduced dimension STAP tech...

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International conference on Image Analysis and signal processing, IASP

作者： Renbiao Wu Lu Wang Zhigang Su Tianjin Key Laboratory of Advanced Signal Processing Civil Aviation University of China China

For airborne radar, the estimation performance of moving target parameters is greatly affected by the residuals of ground clutter after space-time adaptive processing (STAP). The non-homogeneity of environment, which results in the lack of available secondary data, will make this problem worse. In this paper, a novel method, which utilizes small amount of secondary data, is proposed for getting more accurate estimation under non-homogenous environment. In this method, the spatial and temporal dimensions are reduced properly for the benefit of low secondary data support and exact clutter covariance matrix estimation; additionally, by combining a STAP processor with monopulse technique, target parameters will be obtained. The simulation results are shown this method is more accurate and adaptable than the previous adaptive monopulse with STAP method under the non-homogeneous environment.

关键词： Clutter Airborne radar Parameter estimation Radar detection Covariance matrix Radar tracking Target tracking Frequency estimation Laboratories Adaptive signal processing

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MAXIMIN ROBUST RADAR WAVEFORM DESIGN FOR DETECTION OF WEAPONS

MAXIMIN ROBUST RADAR WAVEFORM DESIGN FOR DETECTION OF WEAPON...

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European signal processing conference

作者： Fauzia Ahmad Moeness G. Amin Radar Imaging Lab Center for Advanced Communications Villanova University

We consider the problem of designing transmit waveforms based on target signature exploitation for detection of weapons under single-antenna monostatic radar operation. The target impulse response changes with the target orientation relative to the radar, which may not always be available or accurately determined in practical situations. We assume that the true target impulse response belongs to some uncertainty class of impulse response functions, which encompasses the impulse responses corresponding to the various target orientations. A transmit waveform-receiver filter combination is then designed to achieve the best lower bound on performance within this class, assessed by signal-to-clutter-and-noise ratio. Supporting design examples using electromagnetic modeled data are provided.

关键词： IMPULSE RESPONSE weapons radar waveforms targets

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FREQUENCY-DIVERSITY RCS BASED TARGET RECOGNITION WITH ICA PROJECTION

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2010年第17-18期24卷 2547-2559页

作者： Huang, C. -W. Lee, K. -C. Natl Cheng Kung Univ Dept Syst & Naval Mechatron Engn Tainan 701 Taiwan

In this paper, a frequency-diversity radar cross section (RCS) based target recognition scheme with independent component analysis (ICA) projection is proposed. The goal is to identify the similarity between the unknown and known targets through collected frequency-diversity RCS. Note that the unknown target means the test target and that known targets mean previously seen targets in a database. To enhance the recognition ability, frequency-diversity RCS data are projected into the ICA space, and the recognition is performed using features of ICA space. The ability to tolerate noise effects for proposed recognition scheme is also investigated. The frequency-diversity technique can greatly reduce the efforts of collecting RCS because only a small number of measuring locations are required to achieve accurate recognition. With the use of ICA projection, the recognition scheme will have good abilities in both discriminating targets and tolerating noise effects.

关键词： RADAR cross sections PATTERN perception INDEPENDENT component analysis dataBASES ELECTRONIC noise signal processing

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An intermediary method used in direction-finding location system

An intermediary method used in direction-finding location sy...

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International conference on signal processing Systems, ICSPS

作者： Huang Weiping Xu Yu Wang Jie Scientific Research Department Air-Force Radar Academy of PLA Wuhan China Wuhan China

In order to deal with the NP hard in the usual direction-finding location, an intermediary techniques of data association for multiple targets tracking by multiple passive sensors are discussed. The location will be fulfilled at the assistant of a range finder. Firstly, employ one of a passive sensors equipped with the range finder in the tracking net, get an integrated measurement of the target; Secondly, translate the integrated measurement into the reference frame of the other sensors one by one, then use the translated measurement as the medium, pick up the ones associated with the translated one as a gather, Finally, let the orientation line in the gather crossed, and find the precision location though the least mean square. The simulation results show the excellent performance of the new direction-finding location method.

关键词： Sensors Target tracking Radar tracking signal processing Navigation Logic gates Arrays

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A fuzzy adaptive tracking algorithm based on current statistical probabilistic data association

A fuzzy adaptive tracking algorithm based on current statist...

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International conference on signal processing Systems, ICSPS

作者： Yu Haixia Fu Caikui Jiang Li School of Information Engineering Dalian University of Technology Dalian China Dayton Securities Dalian China

In this paper, a new fuzzy adaptive maneuvering target tracking algorithm based on current statistic model is proposed. How to track a maneuvering target is a key problem of target tracking in clutter. Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets. So it may be difficult to meet all maneuvering conditions. The Fuzzy inference combined with Current statistical model is proposed to cope with this problem. Given the error and change of error in the last prediction, fuzzy system on-line determines the magnitude of maximum acceleration to adapt to different target maneuvers. Furthermore, the difficulties of the maneuvering target tracking lies in the uncertainty of state model, and the clutter make it more complex. The algorithm combines current statistical algorithm with probabilistic data association algorithm. At last, the results show this algorithm can estimate a maneuvering target in clutter efficiently.

关键词： Acceleration Target tracking signal processing algorithms Adaptation model Radar tracking Probabilistic logic Inference algorithms

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