{"title":"Enhanced monopulse radar tracking using filtering in fractional Fourier domain","authors":"S. Elgamel, J. Soraghan","doi":"10.1109/RADAR.2010.5494618","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494618","url":null,"abstract":"Monopulse radars are used to track a target that appears in the look direction beam width. The distortion produced when additional targets appear in the look direction beam width can cause severe erroneous outcomes from the monopulse tracking processor. This leads to errors in the target tracking angles that may cause target mistracking. A new monopulse radar structure is presented in this paper which offers a solution to this problem. This structure is based on the use of optimal Fractional Fourier Transform (FrFT) filtering. The improved performance of the new monopulse radar structure over the traditional monopulse processor is assessed using standard deviation angle estimation error (STDAE) for a range of simulated environments. The proposed system configurations with the optimum FrFT filters is shown to effectively cancel the additional targets' signals and to minimize the STDAE for monopulse processors even if these targets have the same Doppler frequency.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120938413","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":"Development of a tree structured hierarchical wavelet representation of synthetic database to NCTR","authors":"C. Brousseau","doi":"10.1109/RADAR.2010.5494593","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494593","url":null,"abstract":"In this paper, problem of efficient representation of large database of target radar cross section is investigated in order to minimize memory requirements and recognition search time, using a tree structured hierarchical wavelet representation. Synthetic RCS of large aircrafts, in the HF-VHF bands, are used as experimental data. Hierarchical trees are built using wavelet multiresolution representation and K-means clustering algorithm. Criteria used to define these hierarchical trees are described and the obtained performances are presented.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121105745","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}
S. Hensley, E. Gurrola, L. Harcke, M. Slade, K. Quirk, M. Srinivasan, Clement G. Lee, S. Yun, J. Jao, B. Wilson, E. D. De Jong, N. Marechal, L. Weintraub, Richard Dickinson, R. Bloom, G. Karamyan, A. Lilje
{"title":"Lunar topographic mapping using a new high resolution mode for the GSSR radar","authors":"S. Hensley, E. Gurrola, L. Harcke, M. Slade, K. Quirk, M. Srinivasan, Clement G. Lee, S. Yun, J. Jao, B. Wilson, E. D. De Jong, N. Marechal, L. Weintraub, Richard Dickinson, R. Bloom, G. Karamyan, A. Lilje","doi":"10.1109/RADAR.2010.5494575","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494575","url":null,"abstract":"Mapping the Moon's topography using Earth based radar interferometric measurements by the Goldstone Solar System Radar (GSSR) has been done several times since the mid 1990s. In 2008 we reported at this conference the generation of lunar topographic maps having approximately 4 m height accuracy at a horizontal posting of 40 m. Since then GSSR radar has been improved to allow 40 MHz bandwidth imaging and consequently obtained images and interferograms with a resolution of about 4 m in range by 5 m in azimuth. The long synthetic aperture times of approximately 90 minutes in duration necessitated a migration from range/Doppler image formation techniques to spotlight mode processing and autofocusing methods. The improved resolution imagery should permit the generation of topographic maps with a factor of two better spatial resolution with about same height accuracy. Coupled the with the recent availability of new lidar topography maps of the lunar surface made by orbiting satellites of Japan and the United States the geodetic control of the radar generated maps products can be improved dramatically. This paper will discuss the hardware and software improvements made to the GSSR and present some of the new high resolution products.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116206367","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}
M. Saville, Kenneth M. Monroe, C. Allen, Rick Martin
{"title":"Processing-based tuner gain correction in a wideband multi-channel receiver","authors":"M. Saville, Kenneth M. Monroe, C. Allen, Rick Martin","doi":"10.1109/RADAR.2010.5494456","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494456","url":null,"abstract":"Modern radar systems often capitalize on advanced radio frequency components in the receiver front end to include wideband tuners and amplifiers, highly stable local oscillators, and high-speed analog-to-digital converters. Yet, technology demonstrators often emphasize either the hardware or the processing algorithm rather than the end-to-end system. This paper presents the hardware characterization of tuner-gain mismatch in a wideband multi-channel array and the subsequent signal processing calibration model. The gain model is empirically found to follow a T-distribution and is used to balance the amplitude across the tuners as part of the processing for time-frequency-beamforming. Phase is also shown to be the critical factor to completely correcting phase mismatch. Here, we present details of the wideband receiver front-end and the signal processing backend.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127656198","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":"Autonomous Lockout Map Construction Technique for Secondary Surveillance Radar Mode S network","authors":"T. Koga, K. Mori","doi":"10.1109/RADAR.2010.5494389","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494389","url":null,"abstract":"Secondary Surveillance Radar (SSR) Mode S is an air traffic control radar system with improved surveillance and datalink capability. Recently, SSR mode S network attracts attentions as a way to solve problems such as the interrogator identifier code problem or radio frequency(RF) signal environment pollution. In SSR mode S network, each site has lockout map. Lockout is a command from GS to aircraft. Aircraft stops replying to all-call if it receives lockout. Lockout map determines area where GS lockout aircraft. There are several problems in current lockout map. First, it is difficult to create optimum lockout map. Second, it becomes complex to allocate and manage lockout maps if many sites join network. As the number of sites increase, Mode S operator has to prepare many maps. To solve these problems, we propose the Autonomous Lockout Map Construction Technique for SSR Mode S network. This technique enables Mode S GS to autonomously construct optimum lockout map by exchanging aircraft and site information through network. In this paper, we describe the background and details of the proposed technique. Then we show simulation results for validating the proposed technique.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133415136","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}
V. Vu, Thomas K. Sjögren, M. Pettersson, Lars Håkasson
{"title":"An approach to suppress RFI in ultrawideband low frequency SAR","authors":"V. Vu, Thomas K. Sjögren, M. Pettersson, Lars Håkasson","doi":"10.1109/RADAR.2010.5494402","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494402","url":null,"abstract":"The paper proposes an approach for the Radio Frequency Interference (RFI) suppression in ultrawideband (UWB) low frequency Synthetic Aperture Radar (SAR). The basis of the approach is an Adaptive Line Enhancer (ALE) controlled by the Normalized Least Mean Square (NLMS) algorithm. The proposal is tested successfully on the simulated CARABAS-II data.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133592874","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":"New results on coherent radar target detection in heavy-tailed compound-Gaussian clutter","authors":"K. J. Sangston, F. Gini, M. Greco","doi":"10.1109/RADAR.2010.5494515","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494515","url":null,"abstract":"In this work we prove that if the texture of compound-Gaussian clutter is modeled by an Inverse-Gamma distribution, the optimum detector is the optimum Gaussian matched filter detector compared to a data-dependent threshold that varies linearly with a quadratic statistic of the data. The compound-Gaussian model presented here varies parametrically from the Gaussian clutter model to a clutter model whose tails are evidently heavier than any K-distribution model. Moreover, we also show that the GLRT, which is a popular suboptimum detector due to its CFAR property, is in fact an optimum detector for our clutter model in the limit as the tails get extremely heavy.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133938654","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":"Distributed energy-efficient scheduling for radar signal detection in sensor networks","authors":"Yang Yang, Rick S. Blum, Brian M. Sadler","doi":"10.1109/RADAR.2010.5494458","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494458","url":null,"abstract":"In this paper, we consider the problem of Neyman-Pearson detection of fluctuating narrowband radar signals using wireless sensor networks (WSNs), and we are interested in finding some approach which can optimize the signal detection performance jointly with the energy expenditure. Towards this goal, we propose a distributed and energy-efficient scheduling scheme to coordinate the communications between each sensor node and the fusion center. This scheduling scheme allows each sensor to make its own decision about when to send data to the fusion center, according to its own information and without consulting any other sensors. This distributed scheduling approach greatly reduces the dependence on the fusion center, and also attains an appealing balance between the detection performance and the energy efficiency.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133961731","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":"Matching power Generators to pulsed loads","authors":"G. Conrad, S. Mulukutla","doi":"10.1109/RADAR.2010.5494632","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494632","url":null,"abstract":"Power Generators are presently being used to power large (>1MW) radars whose pulsed-load profile can influence the Generator's performance and vice versa. This paper explores the limitations of the Generator in providing power to a pulsed-load, and how the power architecture may be modified to improve the coupling between source and load with the objective of maximizing performance. Simulated examples of a generic radar power system will be demonstrated showing progressive improvement as better coupling is attained, detailing generator limitation thresholds and overall system performance.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132233131","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":"Fast computations of constant envelope waveforms for MIMO radar transmit beampattern","authors":"Sajid Ahmed, J. Thompson, B. Mulgrew, Y. Pétillot","doi":"10.1109/RADAR.2010.5494578","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494578","url":null,"abstract":"Designing transmit beampattern with MIMO radars generally requires the waveforms to be able to have arbitrary cross-correlation values. In contrast to the available algorithms, the proposed technique provides a closed-form solution for the synthesis of covariance matrix, R, of the waveforms to obtain desired beampattern match. To synthesis R the constraints and redundant information in R are leveraged, which convert the constrained problem into un-constrained problem. Next a novel method for generating the constant-envelope (CE) waveforms to realise the synthesised covariance matrix, R, is proposed. This method also yields a closed-form solution and choose the symbols from the binary-phase shift-keying (BPSK). Here, Gaussian random-variables (RV's) are mapped onto the CE RV's by a memoryless non-linear transformation, which converts the problem of finding the non-Gaussian RV's to realise a given covariance matrix R into finding the Gaussian RV's to realise covariance matrix Rg. Simulation results are presented to demonstrate the effectiveness of both methodologies.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"8 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114006886","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}