Andres Rodriguez, Jeffrey Panza, B. Kumar, Abhijit Mahalanobis
{"title":"Automatic recognition of multiple targets with varying velocities using quadratic correlation filters and Kalman filters","authors":"Andres Rodriguez, Jeffrey Panza, B. Kumar, Abhijit Mahalanobis","doi":"10.1109/RADAR.2010.5494580","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494580","url":null,"abstract":"Automatic target recognition (ATR) systems require detection, recognition, and tracking algorithms. The classical approach is to treat these three stages separately. In this paper, we investigate a correlation filter (CF)-based approach that combines these tasks for enhanced ATR. We present a Kalman filter framework to combine information from successive correlation outputs in a probabilistic way. Our contribution is a framework that is able to locate multiple targets with different velocities at unknown positions providing enhanced ATR with only a marginal increase in computation over other CF ATR algorithms.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"5 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":"132228299","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}
A. Mroué, M. Heddebaut, F. Elbahhar, A. Rivenq, J. Rouvaen
{"title":"UWB radar and leaky waveguide for fall on track object identification","authors":"A. Mroué, M. Heddebaut, F. Elbahhar, A. Rivenq, J. Rouvaen","doi":"10.1109/RADAR.2010.5494556","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494556","url":null,"abstract":"This paper presents a new system for detecting and identifying objects fallen onto railway tracks. The proposed solution is based on an ultra-wideband (UWB) radar technique combined with a slotted waveguide transmission line. A rectangular section, slotted waveguide is maintained all along the railway platform and used as a succession of monostatic radars. A design procedure is described. A procedure of extraction of target's electromagnetic signatures is discussed; simulation results are produced.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"1 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":"134226584","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}
J. Baker, J. Ruohoniemi, A. J. Ribeiro, L. Clausen, R. Greenwald, N. Frissell, K. A. Sterne
{"title":"Monitoring ionospheric space weather with the Super Dual Auroral Radar Network (SuperDARN)","authors":"J. Baker, J. Ruohoniemi, A. J. Ribeiro, L. Clausen, R. Greenwald, N. Frissell, K. A. Sterne","doi":"10.1109/RADAR.2010.5494396","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494396","url":null,"abstract":"The Super Dual Auroral Radar Network (SuperDARN) of high frequency radars monitors ionospheric space weather at middle to high latitudes in both hemispheres. SuperDARN is an international collaboration involving scientists and engineers from over a dozen countries. The backscatter targets of interest are irregularities in the ionospheric plasma density that are aligned along the geomagnetic field. The Doppler motion of the irregularities can be used to infer the strength and direction of the ionospheric electric field. These measurements, obtained continuously, provide valuable information about the electrodynamics of the coupled magnetosphere-ionosphere system over extended spatial scales and with high time resolution. In this paper, the history of SuperDARN is briefly reviewed with a particular emphasis on the recent expansion of the network to middle and higher latitudes. A technique for assimilating multi-radar data to produce space weather maps of the hemispheric state of ionospheric plasma motion is also described.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"7 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":"134312481","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 target alignment algorithm for through-the-wall radar imagery classification","authors":"B. Mobasseri, G. Smith, Imad Estephan","doi":"10.1109/RADAR.2010.5494519","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494519","url":null,"abstract":"Sensing through the wall using radar is a valuable capability. There is considerable work in generating radar images of the interior of a room by beamforming of the radar backscatter generated in a Synthetic Aperture Radar (SAR) configuration. However, high level interpretation of the scene is a more difficult task. In previous work a minimum distance classifier was successfully used to recognize various targets placed in the scene. The approach suffered from the dependency of target features on target location. This work presents a solution to this problem by bringing the target intensity profiles into alignment with the training data prior to classification. The alignment is performed by moving the intensity profiles between locations using an Autoregressive Moving Average (ARMA) model. The classification results before and after alignment show a marked improvement.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"92 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":"134516215","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":"Detection performance comparison for wideband and narrowband radar in noise","authors":"Fengzhou Dai, Penghui Wang, Hongwei Liu, Shunjun Wu","doi":"10.1109/RADAR.2010.5494514","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494514","url":null,"abstract":"The detection performance of wideband radars in noise is better than that of the narrowband radars under some conditions, due to higher range resolution and less target return fluctuation. The detection probabilities of wideband and narrowband radars for the wideband non-fluctuation, Rayleigh and Ricean target models in white Gaussian noise are deduced. The detection curves show that the wideband radars outperform the narrowband radars in detection performance in the case of high detection probabilities. But the detection predominance of the wideband radars is meaningless when the bandwidth of the radar is increased to a certain extent, because the integration loss of the wideband radar energy integration detector is increased with the increasing range resolution.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"160 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":"133172584","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":"Switched array concepts for 3-D radar imaging","authors":"A. Nelander","doi":"10.1109/RADAR.2010.5494469","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494469","url":null,"abstract":"A number of antenna array concepts are investigated for three-dimensional radar imaging. The concepts are based on switched arrays and wide-band signals to generate a virtual array or co-array to span a sector volume in the wave vector space to get image resolution. The proposed arrays can be used for short range imaging in penetrating radar applications. This approach is quite general and it can also be used in other system concepts. Virtual arrays have mostly been used in radio astronomy and ultrasonic imaging. The related synthetic arrays with antenna motion have been more common in radar systems.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"37 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":"122898038","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":"Space-Range Adaptive Processing for waveform-diverse radar imaging","authors":"T. Higgins, S. Blunt, A. Shackelford","doi":"10.1109/RADAR.2010.5494604","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494604","url":null,"abstract":"Waveform-diverse radar arrays have been proposed as a method to facilitate single pulse imaging as well as to potentially enable simultaneous multi-mode operation. Transmitting different waveforms on the elements of a uniform linear array consequently raises the spatial and temporal sidelobes of the receiver matched filter. In this paper a recursive minimum mean square error based receiver design denoted as Space-Range Adaptive Processing is presented. The new method is capable of mitigating space range sidelobes thereby providing enhanced sensitivity for this transmission scheme.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"19 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":"123042112","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":"Multipath Doppler signatures from targets moving behind walls","authors":"P. Setlur, M. Amin, F. Ahmad","doi":"10.1109/RADAR.2010.5494511","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494511","url":null,"abstract":"Detection, localization, and tracking of moving targets are highly desirable in through-the-wall sensing applications. Since the indoor environment is rich in multipath reflective sources, such as walls, floor, and ceiling, the received signal is composed of the direct path and several multipath arrivals. However, on occasions, the direct path to the target may be blocked as the target traverses behind large metallic objects such as file cabinets, etc. In such cases, multipath is the only observable return and can be exploited to detect and maintain tracking of moving targets. In this paper, we provide range-Doppler analysis of multipath arrivals for a diffuse target moving in an enclosed urban structure, which provides insight for the development of through-the-wall detection and tracking techniques based on multipath exploitation.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"16 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":"128450682","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":"Conjugate gradient parametric adaptive matched filter","authors":"Chaoshu Jiang, Hongbin Li, M. Rangaswamy","doi":"10.1109/RADAR.2010.5494524","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494524","url":null,"abstract":"The parametric adaptive matched filter (PAMF) detector for space-time adaptive processing (STAP) detection is re-examined in this paper. Originally, the PAMF detector was introduced by using a multichannel autoregressive (AR) parametric model for the disturbance signal in STAP detection. While the parametric approach brings in benefits such as significantly reduced training and computational requirements as compared with fully adaptive STAP detectors, the PAMF detector as a reduced-dimensional solution remains unclear. This paper employs the conjugate-gradient (CG) algorithm to solve the linear prediction problem arising in the PAMF detector. It is shown that CG yields not only a new computationally efficient implementation of the PAMF detector, but it also offers new perspectives of PAMF as a reduced-rank subspace detector. The CG algorithm is first introduced to provide alternative implementations for the matched filter (MF) and parametric matched filter (PMF) when the covariance matrix of the disturbance signal is known. It is then extended to the adaptive case where the covariance matrix is estimated from training data. Important issues such as unknown model order and convergence rate are discussed. Performance of the proposed CG-PAMF detector is examined by using the KASSPER and other computer generated data.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"7 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":"128576997","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":"OFDM-based digital array radar with frequency domain mode multiplexing","authors":"J. P. Stralka","doi":"10.1109/RADAR.2010.5494607","DOIUrl":"https://doi.org/10.1109/RADAR.2010.5494607","url":null,"abstract":"Improvements in RF and digital technology have made digital array radar (DAR) feasible. The combination of orthogonal frequency-division multiplexing (OFDM) as a wideband pulse compression modulation with a DAR architecture allows time dispersion effects to be mitigated for electrically-long antenna arrays. This concept can be extended to the simultaneous operation of multiple radar modes. Each mode is allocated some number of OFDM subcarriers. The subcarriers corresponding to a particular mode are then phase-shifted to create an element-to-element phase shift across the antenna array to steer the full-aperture antenna beam for that particular mode. This concept multiplexes the modes in the frequency domain while the OFDM-based DAR allows each mode to experience the full-aperture gain on transmit and receive while being electronically steered to an independent spatial position.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"11 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":"129115853","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}