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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 2010"

共 976 条记录，以下是351-360 订阅

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A segmentation-based CFAR algorithm for subsurface targets detection in FLGPSAR

A segmentation-based CFAR algorithm for subsurface targets d...

引用

2010 2nd International conference on signal processing Systems, ICSPS 2010

作者： Shi, Yunfei Jin, Tian Song, Qian Zhou, Zhimin School of Electronic Science and Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9781424468911

Forward-Looking Ground Penetrating Synthetic Aperture Radar (FLGPSAR) has the capability of forming two-dimensional high-resolution images of subsurface objects from a standoff distance. This paper addresses the detection of subsurface targets, i.e. landmines, in FLGPSAR images. The conventional Constant False-Alarm Rate (CFAR) algorithm has been widely used in SAR image target detection, but its performance will degrade in subsurface targets detection because of the presence of interfering targets and clutter power transition. In this paper, a segmentation-based CFAR (S-CFAR) algorithm is proposed. The S-CFAR algorithm can remove the interfering targets or clutter power transition before estimating the parameters of the clutter background to achieve a better performance than the conventional CFAR algorithm. The real data processing results are given to validate the efficiency of the proposed method. © 2010 IEEE.

关键词： Synthetic aperture radar

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BAYESIAN RAO AND WALD TEST FOR RADAR ADAPTIVE DETECTION

BAYESIAN RAO AND WALD TEST FOR RADAR ADAPTIVE DETECTION

引用

2010 IEEE International conference on Acoustics, Speech, and signal processing

作者： Zhou, Yu Zhang, Lin-rang Xidian Univ Key Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

ISBN: (纸本)9781424442966

This paper deals with the adaptive detection of a signal of interest in the presence of Gaussian noise with unknown covariance matrix (CM). To this end, we resort to a Bayesian approach based on a suitable model for the probability density function (PDF) of unknown CM. Under this assumption, the maximum a-posteriori (MAP) estimation of CM is derived. The MAP estimate is in turn used to yield Bayesian version of Rao and Wald test. And the importance of the a priori knowledge can be tuned through scalar variable. Remarkably the devised detectors outperform Kelly's GLRT and non Bayesian Rao and Wald test in the presence of strongly heterogeneous scenarios (where a very small number of training data is available). Meanwhile, the coincidence of Bayesian GLRT and Wald test is proved.

关键词： Adaptive detection Rao test Wald test maximum a posteriori (MAP) heterogeneous environment

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A novel detection warning signal creation method for hand-held GPR applications

A novel detection warning signal creation method for hand-he...

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13th Internarional conference on Ground Penetrating Radar, GPR 2010

作者： Sezgin, Mehmet TÜBITAK UEKAE PK: 74 41470 Gebze Kocaeli Turkey

ISBN: (纸本)9781424446049

In this paper a novel detection warning signal creation method is proposed for pulse Ground Penetrating Radar (GPR) data, especially for small non-metallic targets, in time domain. Background removal is applied to the data through a sliding window scheme and Target Energy Function (TEF) is obtained as correlation summation of consecutive A-scan signals. Then Auxiliary Detection Function (ADF) is defined and a novel automatic Detection Warning signal (DWS) creation is applied. The proposed method has been tested specifically for a set of small sized dielectric targets which are not easily detectable. The results are promising as full detection performance and zero false alarm rate in original dataset. Moreover, it is obtained that the immunity of the proposed method against noise is very satisfactory. © 2009 IEE.

关键词： Object detection

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Design of seismic data acquisition system

Design of seismic data acquisition system

引用

IEEE 10th International conference on signal processing

作者： Li Ming Yuan Zi Jiang Chunlan Beijing Inst Technol State Key Lab Explos Sci & Technol Beijing 100081 Peoples R China CNGC North Inst Sci & Tech Informat Beijing Peoples R China

ISBN: (纸本)9781424458981

A multi-channel signal acquisition system for acquiring the seismic signal in the field is developed in this paper, which has features of small in size, easy to carry, easy to use, less additional requirements. Firstly, the system scheme is designed and the structure and composition of the system are determined. Secondly, a kind of seismic sensor is selected according to the frequency characteristic of the target. Then, an amplifying circuit is designed on the basis of the target frequency and the response of the sensor. A data acquisition card is selected according to the actual requirements of multi-channel signal acquisition system, and the hardware of the system is ready after the integration of the above components with a notebook computer. On the basis of the above, the acquisition software of the system is developed by the use of a virtual instrument development environment. The software enables eight-channel signal acquisition, 2 waveform display &control, and simple spectrum analysis. Finally, a multi-channel signal acquisition experiment is carried out and result shows that the system performance meets the needs of the acquisition.

关键词： component data acquistion system design virtual instrument

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Tracking ground targets with road constraint using multiple hypotheses tracking

Tracking ground targets with road constraint using multiple ...

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2010 2nd International conference on signal processing Systems, ICSPS 2010

作者： Cuiping, Li Jinping, Sun Shiyi, Mao Desheng, Liu School of Electronic and Information Engineering Beihang University Beijing 100191 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781424468911

data association in tracking multiple targets is of vital importance for airborne surveillance radar. Multiple hypotheses tracking (MHT) is generally accepted as the preferred method for solving the data association problem in modern multiple-target tracking (MTT) systems. However, there are usually too many hypotheses to process slowly. In this paper, map information has been used to prevent unnecessary MHT track branches and improve the state estimator. The simulation results show that this new algorithm improves tracking performance in realistic environment and effectively brings down the number of track branches, while reducing largely calculating time with better accuracy. © 2010 IEEE.

关键词： Target tracking

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MULTICHANNEL COMPRESSED SENSING VIA SOURCE SEPARATION FOR HYPERSPECTRAL IMAGES

MULTICHANNEL COMPRESSED SENSING VIA SOURCE SEPARATION FOR HY...

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18th European signal processing conference (EUSIPCO)

作者： Golbabaee, Mohammad Arberet, Simon Vandergheynst, Pierre Ecole Polytech Fed Lausanne Signal Proc Inst CH-1015 Lausanne Switzerland

This paper describes a novel framework for compressive sampling of multichannel signals that are highly correlated across the channels. In this work, we assume few number of independent sources are generating the multichannel observations based on a linear mixture model. Moreover, sources are assumed to have sparse/compressible representations in some orthonormal basis. The main contribution of this paper lies in rephrasing the compressed sampling of multichannel data as the compressive source separation problem by knowing the mixture parameters. A number of simulations measure the performance of our recovery algorithm. Comparing to the classical CS scheme -which recovers data of all channels separately-ours indicates a significant reduction in both, the number of measurements to be sent and the complexity of the decoding algorithm (i.e., scaling by the number of sources rather than the number of channels). We demonstrate an application of our scheme in acquisition of the Hyperspectral images. Our algorithm proposes an accurate, low cost and fast recovery from small number of the transmitted measurements that are taken by a low resolution camera.

关键词： Compressed sensing Hyperspectral images Mixture model Source separation Sparsity l(1)-minimization

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AN ALTERNATE APPROACH TO ADAPTIVE BEAMFORMING USING SRP-PHAT

AN ALTERNATE APPROACH TO ADAPTIVE BEAMFORMING USING SRP-PHAT

引用

2010 IEEE International conference on Acoustics, Speech, and signal processing

作者： Levi, Avram Silverman, Harvey F. Brown Univ Div Engn LEMS Providence RI 02912 USA

ISBN: (纸本)9781424442966

An important application for microphone arrays is to extract high-quality output from a single wideband source in multi-source and adverse environments. Methods based on blind-source separation and beamforming have been proposed in the literature. In this paper, we propose a new algorithm for isolating sources which may be considered an alternate approach to adaptive beamforming. The proposed method assigns every time-frequency point to one of the sources in the environment or as background noise using an SRP-PHAT-based discriminator. It then creates the desired source's output by spectrally subtracting the inappropriate time-frequency points. After giving the details of the procedure, we show results from real data from our large-aperture microphone array. Though, clearly a relatively small subset, listening results to date for two or three talkers have yielded high-quality isolations. For two talkers, in particular, results are presented which indicate that the method correctly identifies and removes about 90% of those time-frequency points where the interfering signal is dominant, without affecting the desired signal significantly.

关键词： Adaptive arrays Array signal processing Speech enhancement Speech processing SRP-PHAT

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An Improved Algorithm for Passive Bistatic Radar Detection and Parameters estimation

An Improved Algorithm for Passive Bistatic Radar Detection a...

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IEEE 10th International conference on signal processing

作者： Zhang, Cai-sheng Li, Guo-jun Tang, Xiao-ming He, You Naval Aeronaut & Astronaut Univ Res Inst Informat Fus Yantai 264001 Shangdong Peoples R China

ISBN: (纸本)9781424458981

In passive bistatic radar system, both detection and joint estimation of time delay and Doppler shift of target are based on the cross-ambiguity function (CAF) between direct-path signals and target echoes. However, the drawback of this approach is the excessive processing load which is caused by the fast Fourier transforms (FFT) for long input samples. Since the interested frequencies of target often occupy a small portion of the whole frequency range, it only required to analyze the sub-band of the. whole frequency. A decimation technique which can decrease the operation complexity was applied to solve this issue. The cascaded integrator-comb filter (CIC filter) theory was briefly introduced, followed by detailed signal processing procedures used to implement the target detection and parameters estimation. This improved algorithm needs several extra steps to decimate the signals, while greatly reduces the overall computation complexity with almost no loss of signal processing gain. Finally, the effectiveness of this proposed algorithm is verified by the real data analysis.

关键词： Passive Bistatic Radar Cross-Ambiguity Function (CAF) CIC filter data Decimation

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Spread clutter mitigation via knowledge-aided stap in Multiple-Input Single-Output system

Spread clutter mitigation via knowledge-aided stap in Multip...

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2010 IEEE 10th International conference on signal processing, ICSP2010

作者： Liu, Chunbo Shen, Shuyu Chen, Baixiao School of Science Xidian University Xi'an 710071 China National Lab. of Radar Signal Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9781424458981

In Multiple-Input Single-Output (MISO) HF surface wave radar system, the fact that bistatic operation and the movement of the receiver platform causes the nonstationarity and spreading of sea clutter, which will lead to the difficulty in detecting those immerged targets. The space-time distribution of sea clutter in different geometry is firstly investigated;and a knowledge-aided STAP scheme is proposed for mitigating the clutter. The weights of different range bins are acquired from both the clutter priori and the prefiltered training data by direct data domain (DDD) algorithm. Numerical simulation shows the proposed scheme effective. © 2010 IEEE.

关键词： Space time adaptive processing

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Infrared small targets detection and tracking based on soft morphology top-hat and SPRT-PMHT

Infrared small targets detection and tracking based on soft ...

引用

2010 3rd International Congress on Image and signal processing, CISP 2010

作者： Liu, Tan Li, Xiang Department of Automation Shanghai Jiao Tong University Shanghai China School of Science Xidian University Xi'an China

ISBN: (纸本)9781424465149

This paper discuses the infrared small targets detection and tracking problem. Based on mathematical morphology ,the Soft mathematical morphology filter can filters out the local catastrophe points ,but at the same time the noise is also enhance, and morphology TOP-HAT filter performs better than Soft mathematical morphology filter ,but it can not locate the target preciously. Combing these two methods, improved TOP-HAT Soft Morphological Filter is built to solve the target detection problem in infrared images. Towards tracking in sequential images, an Sequential Probabilistic Ratio Test method (SPRT) is introduced to the Probabilistic Multiple Hypothetic Tracking (PMHT) algorithm to form a SPRT-PMHT tracking algorithm. This new algorithm can solve the initialization and track management problem which is a puzzle in former PMHT algorithms. Besides, the post data association probability is revised to improve the precision of PMHT. Simulations with real infrared image proves that Improved TOP-HAT Soft Morphological Filter, together with round structure element, has a better detection and robustness ability and SPRT-PMH does a good job on target tracking and track management ,they together compose an effective infrared small targets detection and tracking system. ©2010 IEEE.

关键词： Target tracking

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