Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522637
I. Immoreev, B. Vovshin
The article presents a new approach to ultrawideband (UWB) radar projecting. Some advantages of such radars are shown in comparison with common narrowband radars and some features of UWB radars are considered, which do not allow the use of traditional methods. New methods of UWB radar characteristics calculation and radar systems projecting are suggested. It discusses the range equation, passive interference protection, radar detection, radar signal processing and EMC. An experimental investigation is also included.
{"title":"Features of ultrawideband radar projecting","authors":"I. Immoreev, B. Vovshin","doi":"10.1109/RADAR.1995.522637","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522637","url":null,"abstract":"The article presents a new approach to ultrawideband (UWB) radar projecting. Some advantages of such radars are shown in comparison with common narrowband radars and some features of UWB radars are considered, which do not allow the use of traditional methods. New methods of UWB radar characteristics calculation and radar systems projecting are suggested. It discusses the range equation, passive interference protection, radar detection, radar signal processing and EMC. An experimental investigation is also included.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128294878","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522594
R. Perry, R. DiPietro, B. Johnson, A. Kozma, J. Vaccaro
A new multiresolution SAR image formation algorithm called planar subarray processing, PSAP, is presented. The PSAP provides the capability to perform intermediate decisions using lower resolution image data to redirect the remaining processing functions. These intermediate decisions can include, target detection, change detection, super resolution, and moving target parameter estimation. The PSAP algorithm has a tree like flow structure using small cascaded FFT stages making it suitable for parallel processor implementation.
{"title":"Planar subarray processing for SAR imaging","authors":"R. Perry, R. DiPietro, B. Johnson, A. Kozma, J. Vaccaro","doi":"10.1109/RADAR.1995.522594","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522594","url":null,"abstract":"A new multiresolution SAR image formation algorithm called planar subarray processing, PSAP, is presented. The PSAP provides the capability to perform intermediate decisions using lower resolution image data to redirect the remaining processing functions. These intermediate decisions can include, target detection, change detection, super resolution, and moving target parameter estimation. The PSAP algorithm has a tree like flow structure using small cascaded FFT stages making it suitable for parallel processor implementation.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128411551","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522591
A. Zyweck, R. Bogner
Inverse synthetic aperture radar (ISAR) images can be used for radar target classification. To achieve a suitable cross-range resolution in these ISAR images, a relative aspect change is required between the target and the radar. In many encounter scenarios this prerequisite aspect change is not available. In these cases a high resolution range profile (HRRP) must be used for target classification. This paper presents a coherent averaging algorithm which provides the best possible HRRP for a given radar dwell time. The resultant HRRP is thresholded with a CFAR technique. Coherent averaging is compared with non-coherent averaging and coherent averaging is found to provide HRRPs with a higher SNR.
{"title":"Coherent averaging of range profiles","authors":"A. Zyweck, R. Bogner","doi":"10.1109/RADAR.1995.522591","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522591","url":null,"abstract":"Inverse synthetic aperture radar (ISAR) images can be used for radar target classification. To achieve a suitable cross-range resolution in these ISAR images, a relative aspect change is required between the target and the radar. In many encounter scenarios this prerequisite aspect change is not available. In these cases a high resolution range profile (HRRP) must be used for target classification. This paper presents a coherent averaging algorithm which provides the best possible HRRP for a given radar dwell time. The resultant HRRP is thresholded with a CFAR technique. Coherent averaging is compared with non-coherent averaging and coherent averaging is found to provide HRRPs with a higher SNR.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133758818","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522592
S. Barbarossa, L. Parodi
The aim of this work is to propose a method for classifying Synthetic Aperture Radar (SAR) images based on a multiresolution representation of the images obtained by Wavelet Transform (WT). The WT offers an efficient and nonredundant tool f o r analyzing the image at different scales and, equivalently, at different spatial frequency bands and orientations. The analysis of the energy content at different scales and orientations can be exploited to discriminate areas with stronger texture variability, such as urban areas, from less structured regions, such as cultivated areas. The effect of the speckle is mitigated by a noncoherent smoothing in the the wavelet domain. The wavelet is also used as a segmentation tool. The proposed approach is tested on real SAR images as well as on simulated images to quantify the percentage of correct classification.
{"title":"SAR Image Classification by Wavelets","authors":"S. Barbarossa, L. Parodi","doi":"10.1109/RADAR.1995.522592","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522592","url":null,"abstract":"The aim of this work is to propose a method for classifying Synthetic Aperture Radar (SAR) images based on a multiresolution representation of the images obtained by Wavelet Transform (WT). The WT offers an efficient and nonredundant tool f o r analyzing the image at different scales and, equivalently, at different spatial frequency bands and orientations. The analysis of the energy content at different scales and orientations can be exploited to discriminate areas with stronger texture variability, such as urban areas, from less structured regions, such as cultivated areas. The effect of the speckle is mitigated by a noncoherent smoothing in the the wavelet domain. The wavelet is also used as a segmentation tool. The proposed approach is tested on real SAR images as well as on simulated images to quantify the percentage of correct classification.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133803630","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522621
Shunjun Wu, Yingjun Li
The space-time adaptive processing (STAP) can improve the performance of airborne early warning (AEW) radar. But, the receiver channel mismatch will give rise to much degradation of the performance for STAP. This paper introduces an efficient adaptive channel equalization method which can compensate the channel mismatch automatically by least squares theory. The effect of equalizer parameters on equalization performance is analysed in detail, and a sample of adaptive channel equalizer is given.
{"title":"Adaptive channel equalization for space-time adaptive processing","authors":"Shunjun Wu, Yingjun Li","doi":"10.1109/RADAR.1995.522621","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522621","url":null,"abstract":"The space-time adaptive processing (STAP) can improve the performance of airborne early warning (AEW) radar. But, the receiver channel mismatch will give rise to much degradation of the performance for STAP. This paper introduces an efficient adaptive channel equalization method which can compensate the channel mismatch automatically by least squares theory. The effect of equalizer parameters on equalization performance is analysed in detail, and a sample of adaptive channel equalizer is given.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133336457","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522572
C.T. Pham, A. Leonard
The Shuttle Ku-band system is a dual mode system that can be operated either as a two-way communications with the ground via the Tracking and Data Relay Satellite System or as a radar system to track another spacecraft. The radar mode is used during rendezvous and proximity operations to provide range, range rate, angle, and angle rate information to the on-board Shuttle navigation system. Target detection at short range can be determined from any single transmitted pulse that crosses the required threshold whereas at long range, detection is based upon the integration of all the transmitted pulses from a complete data cycle. Once a target is detected, the radar is switched to the track mode and performs range, range rate, and/or angle tracking. This paper discusses the concepts and techniques utilized in the search and track modes, including a description of the waveforms and how signal processing is performed.
{"title":"Space Shuttle Ku-band radar","authors":"C.T. Pham, A. Leonard","doi":"10.1109/RADAR.1995.522572","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522572","url":null,"abstract":"The Shuttle Ku-band system is a dual mode system that can be operated either as a two-way communications with the ground via the Tracking and Data Relay Satellite System or as a radar system to track another spacecraft. The radar mode is used during rendezvous and proximity operations to provide range, range rate, angle, and angle rate information to the on-board Shuttle navigation system. Target detection at short range can be determined from any single transmitted pulse that crosses the required threshold whereas at long range, detection is based upon the integration of all the transmitted pulses from a complete data cycle. Once a target is detected, the radar is switched to the track mode and performs range, range rate, and/or angle tracking. This paper discusses the concepts and techniques utilized in the search and track modes, including a description of the waveforms and how signal processing is performed.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130462774","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522544
G. Trunk, J.D. Wilson, P. Hughes
The paper investigates optimal integration times, search strategies, and confirmation strategies for an X-band, pulse-Doppler, phased array radar which is performing the horizon surveillance function.
本文研究了具有水平监视功能的x波段脉冲多普勒相控阵雷达的最佳积分时间、搜索策略和确认策略。
{"title":"Phased array parameter optimization for low-altitude targets","authors":"G. Trunk, J.D. Wilson, P. Hughes","doi":"10.1109/RADAR.1995.522544","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522544","url":null,"abstract":"The paper investigates optimal integration times, search strategies, and confirmation strategies for an X-band, pulse-Doppler, phased array radar which is performing the horizon surveillance function.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124369309","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522567
H. Shyu, Yung-Tsan Lin, Jan-Min Yang, H. Jinchi
This paper discusses the group tracking algorithm for targets on the sea surface by 2-D search radar. A modified cluster-seeding method is used to define the group and deal with the splitting and merging of tracked groups. The Kalman filter is employed to estimate the group position of the next scan and keep tracking the target. All simulations on the target group, environment, and the maneuvering paths are executed which shows that the algorithm discussed in this paper is good in this application.
{"title":"The group tracking of targets on sea surface by 2-D search radar","authors":"H. Shyu, Yung-Tsan Lin, Jan-Min Yang, H. Jinchi","doi":"10.1109/RADAR.1995.522567","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522567","url":null,"abstract":"This paper discusses the group tracking algorithm for targets on the sea surface by 2-D search radar. A modified cluster-seeding method is used to define the group and deal with the splitting and merging of tracked groups. The Kalman filter is employed to estimate the group position of the next scan and keep tracking the target. All simulations on the target group, environment, and the maneuvering paths are executed which shows that the algorithm discussed in this paper is good in this application.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124497890","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522620
J. Worms
We consider a jammer signal with different polarization states. Different polarization states of the jammer signal during weight vector adaptation and during the use of this weight vector can yield a significant reduction of the jammer suppression. If the jammer polarization scenario doesn't change during the weight calculation and the weighting of the sample vectors, antenna element errors have no significant effects. With an increasing difference of the element antenna patterns, the number of needed degrees of freedom can be twice the number of jammer signals. The aims of the paper are: to call attention to the problems of polarization with respect to adaptive filtering; and to investigate the necessary equality of the radiation patterns of the element antennas.
{"title":"About the influences of polarization agile jammers to adaptive antenna arrays","authors":"J. Worms","doi":"10.1109/RADAR.1995.522620","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522620","url":null,"abstract":"We consider a jammer signal with different polarization states. Different polarization states of the jammer signal during weight vector adaptation and during the use of this weight vector can yield a significant reduction of the jammer suppression. If the jammer polarization scenario doesn't change during the weight calculation and the weighting of the sample vectors, antenna element errors have no significant effects. With an increasing difference of the element antenna patterns, the number of needed degrees of freedom can be twice the number of jammer signals. The aims of the paper are: to call attention to the problems of polarization with respect to adaptive filtering; and to investigate the necessary equality of the radiation patterns of the element antennas.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121265224","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}
Pub Date : 1995-05-08DOI: 10.1109/RADAR.1995.522578
T. Moore
This paper describes a new algorithm for implementing wide angle imaging. The new algorithm is derived from the enhanced image processing (EIP) algorithm described by Ausherman et al. (1984) and is based on using the Fast Fourier Transform (FFT) to rotate and interpolate the linear images before compositing. The new algorithm is more accurate than the linear interpolation based compositing scheme used by Ausherman and is designed to perform efficiently on modern vector array processors. First, correlation imaging and the relationship between linear imaging and wide angle imaging is discussed. Following the discussion of the enhanced imaging technique, the new algorithm for implementing the EIP is described. After the theory is discussed, an example demonstrating the efficacy of the new algorithm is presented. The effect of different strategies for reducing sidelobes in the EIP imagery is also discussed. A comparison of the computational complexity of the new algorithm with the traditional algorithm is presented. The paper concludes with a summary.
{"title":"A FFT based algorithm for the formation of wide-angle ISAR images using EIP","authors":"T. Moore","doi":"10.1109/RADAR.1995.522578","DOIUrl":"https://doi.org/10.1109/RADAR.1995.522578","url":null,"abstract":"This paper describes a new algorithm for implementing wide angle imaging. The new algorithm is derived from the enhanced image processing (EIP) algorithm described by Ausherman et al. (1984) and is based on using the Fast Fourier Transform (FFT) to rotate and interpolate the linear images before compositing. The new algorithm is more accurate than the linear interpolation based compositing scheme used by Ausherman and is designed to perform efficiently on modern vector array processors. First, correlation imaging and the relationship between linear imaging and wide angle imaging is discussed. Following the discussion of the enhanced imaging technique, the new algorithm for implementing the EIP is described. After the theory is discussed, an example demonstrating the efficacy of the new algorithm is presented. The effect of different strategies for reducing sidelobes in the EIP imagery is also discussed. A comparison of the computational complexity of the new algorithm with the traditional algorithm is presented. The paper concludes with a summary.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"73 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132512225","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：