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2018 International Conference on Radar (RADAR)最新文献

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Multipath Detection by Using Space-Space Adaptive Processing (SSAP) with MIMO Radar 基于空间-空间自适应处理(SSAP)的MIMO雷达多路径检测
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557221
O. Biallawons, J. Ender
{"title":"Multipath Detection by Using Space-Space Adaptive Processing (SSAP) with MIMO Radar","authors":"O. Biallawons, J. Ender","doi":"10.1109/RADAR.2018.8557221","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557221","url":null,"abstract":"We present a technique to detect multipath propagation using multiple-input multiple-output (MIMO) radar. Given such fully coherent system it is possible to conduct beamforming after digitizing in different directions for transmission and reception. In the case of multipath reflections the transmit beam points to another direction than the receive beam. Multi-bounce reflections exhibit detailed information, allowing for instance to look behind a corner or add the ability to extract motion vectors of a target instead of only scalars. First of all this requires the detection of the multi-bounce reflections before they can be exploited. The presented technique in this paper is called SSAP (space-space adaptive processing).","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134109374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Comparison of Bi-Modal Coherent Sea Clutter Models 双模态相干海杂波模型的比较
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557256
L. Rosenberg, S. Bocquet
{"title":"Comparison of Bi-Modal Coherent Sea Clutter Models","authors":"L. Rosenberg, S. Bocquet","doi":"10.1109/RADAR.2018.8557256","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557256","url":null,"abstract":"Modelling and simulation of radar sea-clutter is extremely important for evaluating radar detection algorithms and to stimulate radar processors during development and testing. Of the many aspects of sea-clutter, the Doppler spectrum plays a key role in determining the statistics which are important for coherent processing. In this paper, the evolving Doppler spectrum model and the spatially and temporal limited clutter model are described and analysed. Simulated data is generated using both models with parameters estimated from the Ingara medium grazing angle sea clutter data set. This allows a comprehensive study of the strengths and weaknesses of each model over a range of polarisations and swell angles.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115832722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Multiscan Recursive Bayesian Method for Parameter Estimation of Spatially-Varying Sea Clutter Models 空间变化海杂波模型参数估计的多扫描递归贝叶斯方法
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557270
Han Yu, P. Shui, Weiliang Zeng, Kai Lu
{"title":"Multiscan Recursive Bayesian Method for Parameter Estimation of Spatially-Varying Sea Clutter Models","authors":"Han Yu, P. Shui, Weiliang Zeng, Kai Lu","doi":"10.1109/RADAR.2018.8557270","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557270","url":null,"abstract":"Large-scene sea clutter exhibits spatially-varying power and non-Gaussianity due to varying grazing angle and sea state, which leads to the lack of data with consistent statistical property, called spatially small-sample (SSS) problem. Therefore, compound-Gaussian model with spatially-varying texture is introduced to characterize large-scene sea clutter. However, existing methods of sea clutter parameter estimation, including moment-based, maximum likelihood and explicit bipercentile estimators, lose their estimation efficiencies with the SSS problem. In this study, a multiscan recursive Bayesian (MRSB) method is proposed to deal with the estimation problem of spatially-varying sea clutter parameters. This method is constructed by transforming scanning data in frames to the prior information of parameters in order to cover the shortage of sample number. The MRSB method not only improves the parameter estimation property of spatially-varying sea clutter due to the performance assessment with clutter data, but also starts a new mode of radar, that is, radar remembers all information and no data.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Detection of Human Echo Locator Waveform Using Gammatone Filter Processing 利用伽玛酮滤波处理检测人体回声定位器波形
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557342
R. R. Abdullah, N. Saleh, S.M.S. Ahmad, A. Salah, N. Rashid
{"title":"Detection of Human Echo Locator Waveform Using Gammatone Filter Processing","authors":"R. R. Abdullah, N. Saleh, S.M.S. Ahmad, A. Salah, N. Rashid","doi":"10.1109/RADAR.2018.8557342","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557342","url":null,"abstract":"Human echolocation is a technique that is commonly used by blind persons to perceive their surroundings by analysing echo signals using an active signal (often tongue clicks). Over the years, studies into human echo location have explored vibrant disciplines, including the engineering perspective. The studies have been continuous and report on the human echo locator waveforms, which are individually unique, with the existence of multiple frequency components. However, possible explanations as to how blind people detect their own pair of transmitted and echo signals still remain vague. The detection process using the conventional matched filter has led to poor performance probably because the waveform consists of multiple frequency components. It was reported in a recent analysis that an ideal scheme for the detection of a human echo locator waveform click is possibly through the adoption of bio-inspired processing. Therefore, a similar detection mechanism based on a bio-inspired method incorporated with a gammatone filter was proposed in this paper for the transmitted-echo signal pair. The optimal detection output led to an ideal method for the detection of human echolocator signals. Furthermore, the need for alternative signal processing approaches for future man-made sensor systems has placed a demand on researchers to explore the perspectives in new fields of study. As such, the positive results explored in this paper can be beneficial for emerging concepts in new developments in the application of radar and sonar systems in the near future.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132097686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Simple-Structure FMCW Radar Test System Using PLL-Gunn Oscillator and Fundamental Mixer in 79 GHz Band 基于锁相环振荡器和79ghz基频混频器的结构简单的FMCW雷达测试系统
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557238
Kohei Fujiwara, Hidehiko Yamaoka, T. Onzuka, S. Ozaki, Yoneo Akita, Yoshikazu Fujinaka
{"title":"A Simple-Structure FMCW Radar Test System Using PLL-Gunn Oscillator and Fundamental Mixer in 79 GHz Band","authors":"Kohei Fujiwara, Hidehiko Yamaoka, T. Onzuka, S. Ozaki, Yoneo Akita, Yoshikazu Fujinaka","doi":"10.1109/RADAR.2018.8557238","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557238","url":null,"abstract":"In this study, a simple frequency-modulated continuous wave (FMCW) radar test system for an anti-collision automobile radar in the 79 GHz band has been developed. This system consists of a down-converter based on a fundamental mixer with a phase-locked loop-Gunn oscillator and a mixed domain oscilloscope or a digital oscilloscope. This system can evaluate an FMCW signal in the time domain, which includes the evaluation of the chirp rate, chirp width, chirp length, and linearity. By employing the Gunn oscillator, the down-converter attains a very simple configuration. The down-converter has a conversion gain of 7.8 dB at 79 GHz in typical conditions and a bandwidth of 4 GHz. In this study, we explain the development of the radar test system and demonstrate the same using an FMCW chipset evaluation board.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132989165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Windfarm Interference Mitigation Using Compressive Sensing Techniques and Tilted-Wire Scatterer Model 基于压缩感知技术和斜线散射体模型的风电场干扰抑制
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557329
R. Kyprianou, K. Venkataraman, R. Melino, P. Berry, H. Tran
{"title":"Windfarm Interference Mitigation Using Compressive Sensing Techniques and Tilted-Wire Scatterer Model","authors":"R. Kyprianou, K. Venkataraman, R. Melino, P. Berry, H. Tran","doi":"10.1109/RADAR.2018.8557329","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557329","url":null,"abstract":"Surveillance and tracking radars, operating in the presence of high static and the dynamic clutter generated by the rotating blades of wind turbines in windfarms, have a huge task of mitigating such interference without compromising genuine target return signals. This has been of much interest in the radar research community in recent years. This poses a significant threat to the air traffic control operations and related safety aspects of civil and military aircraft. As part of an ongoing development of mitigation techniques worldwide against this interference we present a novel technique based on compressive sensing signal processing and the use of a tilted-wire scatterer model in the formation of a dictionary. We demonstrate with real data that mitigation of windfarm interference can be achieved without compromising components from targets of interest.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115289053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimation of the DOAs of Coherent Signals in Beam Space Processing for Phased Arrays 相控阵波束空间处理中相干信号的doa估计
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557250
Ruiting Yang, D. Gray, W. Al-Ashwal
{"title":"Estimation of the DOAs of Coherent Signals in Beam Space Processing for Phased Arrays","authors":"Ruiting Yang, D. Gray, W. Al-Ashwal","doi":"10.1109/RADAR.2018.8557250","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557250","url":null,"abstract":"Standard high resolution DOA estimation techniques such as MUSIC fail when the received signals are correlated. However spatial smoothing of the element space (ES) covariance matrix of receiver outputs overcomes the rank deficiency of the signal subspace and allows high accuracy DOA estimates to be obtained. In beam space (BS) array processing the ES covariance matrix is not available and spatial smoothing techniques cannot be directly applied. In this paper an ES covariance matrix reconstituted from the BS covariance matrix is proposed to which spatial smoothing techniques can be applied.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116554342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Generalized Design Approach for Fourth-Order Difference Co-Array 四阶差分共阵列的广义设计方法
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557325
Shiwei Ren, Tao Zhu, Jianyan Liu
{"title":"Generalized Design Approach for Fourth-Order Difference Co-Array","authors":"Shiwei Ren, Tao Zhu, Jianyan Liu","doi":"10.1109/RADAR.2018.8557325","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557325","url":null,"abstract":"This paper presents a generalized approach to design fourth-order non-uniform linear arrays (NLAs) by combining any two second-order NLAs (e.g. co-prime array (CA), nested array (NA)). This new-formed NLA could exactly achieve a large hole-free range in its fourth-order difference co-array. By establishing the relationship between the second-order NLAs and the fourth-order NLAs, closed-form expressions for the physical sensor locations and the corresponding virtual sensor configurations are specifically derived. Compared to the prior proposed structure, the new structure could effectively increase the virtual aperture, therefore, having the ability to detect more sources. By considering direction of arrival (DOA) estimation for quasi-stationary (QS) signals, numerical simulation results validate the effectiveness of the proposed array structure.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Artificial Neural Networks to Solve Doppler Ambiguities in Pulsed Radars 利用人工神经网络求解脉冲雷达多普勒模糊
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557268
Bruno Silva, Danilo Habermann, Aleksander Medella, G. Fraidenraich
{"title":"Artificial Neural Networks to Solve Doppler Ambiguities in Pulsed Radars","authors":"Bruno Silva, Danilo Habermann, Aleksander Medella, G. Fraidenraich","doi":"10.1109/RADAR.2018.8557268","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557268","url":null,"abstract":"Undersampling is a common issue in pulsed radars. It causes incorrect estimates of the velocity of detected targets due to the Doppler frequency ambiguity. In this paper, we propose a novel way to estimate the Doppler frequency by using Artificial Neural Network (ANN). The results demonstrate that this new method has a better performance and lower computational cost than the traditional methods like Chinese Remainder Theorem and Robust Chinese Remainder Theorem.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123318572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Frequency Diverse Array Radar Data Processing 变频阵列雷达数据处理
2018 International Conference on Radar (RADAR) Pub Date : 2018-08-01 DOI: 10.1109/RADAR.2018.8557248
Yunhan Dong
{"title":"Frequency Diverse Array Radar Data Processing","authors":"Yunhan Dong","doi":"10.1109/RADAR.2018.8557248","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8557248","url":null,"abstract":"The frequency diverse array (FDA) radar has recently been proposed. However, what left behind is how the FDA data should be correctly, efficiently and systematically processed to maximise its full potential and capacity of search and detection. This paper fills the gap. It shows that overall the processing of the FDA data is even simpler and faster than the processing of the conventional phased-array (CPA) radar to complete wide-area search and detection without a need of electronic scan and repeat pulse transmission and reception. The ambiguous range is resolved without using multiple pulse repetition frequencies (PRFs). This not only greatly simplifies the radar's design and operation but also makes radar quieter and stealth.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123706223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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