{"title":"The convergence rate performance of generalized sidelobe canceller","authors":"J. Wen, Jeng-Shin Sheu","doi":"10.1109/ICR.2001.984844","DOIUrl":"https://doi.org/10.1109/ICR.2001.984844","url":null,"abstract":"The least mean squares (LMS) algorithm is widely used in adaptive array systems since it can provide both low complexity and robust performance. However, the convergence rate of this gradient-descent based algorithm is governed by the eigenvalue spread of the autocorrelation matrix. The eigenvalue spread ratio (ESR) in a generalized sidelobe canceller (GSC) is derived. It can provide insight of how various parameters, related to an adaptive array system, affect the performance of the convergence rate. Finally, numerical and simulation results are used to verify that the derivation of ESR is correct.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116925192","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}
Zeng Yonghu, W. Xuesong, Chen Ying, Xiao Shunping, Zhu Zhaowen
{"title":"Radar target's reciprocity correction based on polarimetric measurement error model","authors":"Zeng Yonghu, W. Xuesong, Chen Ying, Xiao Shunping, Zhu Zhaowen","doi":"10.1109/ICR.2001.984887","DOIUrl":"https://doi.org/10.1109/ICR.2001.984887","url":null,"abstract":"With the analysis of a polarimetric measurement error model, a novel radar target's reciprocity correction algorithm is presented based on a least degradation rule. After transforming the nonlinear optimal function of four variables with constraints to a nonlinear optimal function of two variables without constraints, the solution is given. Simulation results verify its feasibility and indicate its good performance.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115504543","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}
{"title":"The modification of intelligent target detection in nonstationary clutter","authors":"M. Xiaoyan, Li Chunxia, Zhang Xianda","doi":"10.1109/ICR.2001.984683","DOIUrl":"https://doi.org/10.1109/ICR.2001.984683","url":null,"abstract":"In non-stationary background, like sea clutter, the intelligent detection method independent of the statistical model, has the obvious advantages. Based on the strategy by Haykin (1997), a new intelligent detection scheme is proposed to improve the detection performance, in which the Kohonen neural network (NN) and the modified fuzzy NN are used. A variety of comparison experiments have been done with both the simulated data and the real sea clutter data between our proposed scheme and Haykin's scheme, which show clearly our method has a higher detection ability and a lower false-alarm rate.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114521466","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}
{"title":"Beam sharpening via multikernel deconvolution","authors":"D. Iverson","doi":"10.1109/ICR.2001.984811","DOIUrl":"https://doi.org/10.1109/ICR.2001.984811","url":null,"abstract":"Observation of physical phenomena are made by means of sensors which modify the incoming signals, this modification commonly being modeled by linear convolution with a sensor kernel. This modification limits the resolution that one obtains of the observed objects and brings about the need to reverse the convolution and extract a better object description. We examine a deconvolution problem that is restricted in two ways: the first one assumes that two or more diverse sensor outputs for the same scene at the same viewing angle are available; and second one chooses to look for a deconvolution approach which utilizes the sum of linear convolution filters applied to each of these sensor outputs to produce the deconvolved output being sought. We develop a practical approach to finding optimal deconvolution operators via linear programming. The approach is illustrated by application to the problem of radar beam sharpening using a variety of sensor descriptions.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114880415","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}
{"title":"Performance evaluation of radar detection schemes based on CA-CFAR against K-distributed clutter","authors":"M. Sciotti, P. Lombardo","doi":"10.1109/ICR.2001.984691","DOIUrl":"https://doi.org/10.1109/ICR.2001.984691","url":null,"abstract":"An accurate analytical approximation is derived for the performance of the simple and widely used CA-CFAR detection schemes, when operating against K-distributed clutter. This compensates the absence in the literature of exact performance expressions for this well known type of disturbance. The proposed approximations are validated by Monte Carlo simulation to show their effectiveness.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127070460","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}
{"title":"A simple method for estimating the velocity based on the Doppler shift","authors":"Fengxiang Ge, Yingning Peng, Xiutan Wang","doi":"10.1109/ICR.2001.984712","DOIUrl":"https://doi.org/10.1109/ICR.2001.984712","url":null,"abstract":"A simple method for estimating the velocity of a moving target is presented, based on the Doppler shift. The relationship between the ML estimation and the FFT is exploited to obtain a practical implementation. With the help of adaptive noise canceling to increase the input SNR of the FFT, high-precision analysis for the single-frequency signal is easily accomplished. Simulation shows that the method presented meets the high demand required in practice.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126154399","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}
{"title":"An automatic tracking system for marine navigation","authors":"Huaili Wang, Desheng Wang, Lisheng Tian, Chenghu Tang, Yong Zhao","doi":"10.1109/ICR.2001.984650","DOIUrl":"https://doi.org/10.1109/ICR.2001.984650","url":null,"abstract":"A fully automatic tracking system is discussed in this paper. Compared with conventional tracking systems, a new detection approach based on image recognition is proposed for rejecting ground clutter. The multiple hypothesis tracking (MHT) method is applied in sea or weather clutter background to keep tracks more reliable and more stable. Tracking performance is improved. Thus, the major problems of clutter interference that mainly prevents the realizing of automatic tracking are solved. Finally, track presentation logic is discussed in detail.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123375952","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}
Cai Chenxi, Wang Zubin, Wang Xiu-tan, Peng Ying-ning
{"title":"A new algorithm of automatic target-position acquisition for long-range surveillance radar","authors":"Cai Chenxi, Wang Zubin, Wang Xiu-tan, Peng Ying-ning","doi":"10.1109/ICR.2001.984822","DOIUrl":"https://doi.org/10.1109/ICR.2001.984822","url":null,"abstract":"As an important component of a modem radar system, the automatic target-position acquisition (ATPA) sub-system is responsible for estimating the radar targets' center positions. Among all the ATPA algorithms, the old-fashioned binary-processing (BP) algorithm is in an almost-obsolete state. Today the most widely used algorithm is the area-center (AC) algorithm. But the centroid algorithm has gained more and more attention because it has better precision and requires simpler data structures. However, all the above algorithms are unable to completely solve the problem of signal expansion in the range dimension, which is caused by pulse-compression techniques. For long-range surveillance radar systems, if this problem remains unresolved, it is impossible to achieve high resolution of azimuth and range. We propose a 2-dimensional centroid algorithm based on the: original centroid algorithm, which is only 1-dimensional. We have also designed a simplified peak-searching (PS) algorithm according to the characteristics of long-range surveillance radar. Analysis and simulation shows that this algorithm has relatively high estimation precision, and its implementation scheme is very easy. It has already been successfully used in a long-range surveillance radar system.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126523223","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}
{"title":"A real-time effective method for infrared point-target detection in spatially varying clutter","authors":"Zhanghong, Zhaobaojun, Maoerke","doi":"10.1109/ICR.2001.984740","DOIUrl":"https://doi.org/10.1109/ICR.2001.984740","url":null,"abstract":"This paper presents an algorithm of designing an effective image sequence processing scheme, which based on analyzing the targets and background model correctly. This algorithm will successfully detect very small (point) target in spatially varying clutter background when both the target and clutter are moving through the image scene. This method focuses on reducing the cost of computation, tracking the target in real-time, enhancing the SNR, and suppressing the clutter.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"401 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126574928","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}
{"title":"Researches of a new kind of advanced meter wave radar","authors":"Wu Jianqi, Jiang Kai, He Rui-long, Chen Bo-xiao","doi":"10.1109/ICR.2001.984626","DOIUrl":"https://doi.org/10.1109/ICR.2001.984626","url":null,"abstract":"Synthetic impulse and aperture radar (SIAR) is new kind of advanced meter wave radar. Stealth techniques and anti-radiation missiles (ARM) raise challenges to military radar. Many research results show that meter (or much longer) wavelength electromagnetic waves are the right way against the stealth technique and ARMs. However, traditional meter wave radar has many disadvantages, such as poor angle resolution, weakness against ECM, low measurement precision etc. The new concept of synthetic impulse and aperture radar was presented, by J. Dorey et al. (see Colloque International sur le Radar, p.556-62, 1989). SIAR has no scanning mechanism or phased devices. The beams or antenna patterns of both the transmitting array and the receiving array are formed by digital calculation. SIAR can keep the advantages of traditional meter wave radar and overcome most of its disadvantages. This new kind of radar has many other advantages, for example, low probabilities of interception (LPI), capacity of long coherent integration of targets and fine Doppler resolution, high feasibility of system processing, etc. The basic concepts of SIAR and some experimental results are introduced.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123477669","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}