{"title":"Resonance-region radar target identification using aspect sampling","authors":"Jen-Shiun Chen","doi":"10.1109/NAECON.2009.5426636","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426636","url":null,"abstract":"We investigate the performance of three target identification algorithms that rely on aspect samples of target features extracted from multifrequency resonance-region radar returns. The first algorithm uses only the amplitudes of radar returns, the second uses amplitudes in conjunction with feature-space trajectories, and the third uses complex radar returns and time-domain correlations. To test the algorithms, the Numerical Electromagnetic Code was used to generate radar returns of five test targets made of conducting wires. Simulation results show that very low identification error probabilities can be achieved with relatively large sampling intervals, few frequencies and low computing costs.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123852113","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":"Indoor localization and surveillance usingwireless sensor network and Pan/Tilt camera","authors":"Pratikkumar Desai, K. Rattan","doi":"10.1109/NAECON.2009.5426659","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426659","url":null,"abstract":"A system-level approach for indoor surveillance of objects using wireless sensor networks and Pan/Tilt camera is presented in this paper. The objects to be tracked carry a listener cricket mote and beacon motes are mounted on the ceiling. The Time Difference of Arrival (TDoA) approach and multilateration are used to estimate the distance and position of the object, respectively. The small error in the position estimation result was further reduced by implementing a Kalman filter. The position of the object obtained from the cricket motes are used to calculate the pan and tilt angles of the camera, also mounted on the ceiling. Since the camera used does not have the zoom capability, a laser pointer is used to constantly point a dot on the moving object. The pointer followed the object with negligible error.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116293737","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":"Fingerprint biometric authentication based on local global graphs","authors":"R. Kannavara, N. Bourbakis","doi":"10.1109/NAECON.2009.5426628","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426628","url":null,"abstract":"In this work, we present a method for fingerprint based biometric authentication using the Local Global (LG) Graph methodology. Local graphs of the pre-processed fingerprint image are first calculated and combined to form a Global graph that is stored in a database for the purpose of authentication. The distance between the Global graphs of the presented and the stored fingerprint images is calculated and based on a threshold, subject authenticity is established.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125177219","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}
N. A. Estep, Morgan L. Hurliman, J. Massman, S. M. Pugh, Rashi K. Rathi, A. Terzuoli
{"title":"Low frequency antenna analysis","authors":"N. A. Estep, Morgan L. Hurliman, J. Massman, S. M. Pugh, Rashi K. Rathi, A. Terzuoli","doi":"10.1109/NAECON.2009.5426644","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426644","url":null,"abstract":"An arbitrary VHF antenna array was considered for the comparison of two methods of analysis. The first method was based on a Fourier transform decomposition of the far-field radiation integral written in Matlab. In this approach the current on the antenna array is taken to be comprised of simplified functions. The current has three rectilinear components with each component been a product of three one dimensional rectilinear functions. The far-field is then obtained by a one dimensional Fourier transform of each of rectilinear function for each of the vector components. The array nature of the antenna is analyzed via a traditional summation approach and represented in closed form. The second method used was a traditional computational electromagnetic simulation using the Numerical Electromagnetic Code (NEC). The Fourier transform method ignores mutual coupling but is very computationally fast. The NEC method fully considers mutually coupling and is computationally much slower.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127333463","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":"ASF seasonal correction of Loran-C based on artificial neural network","authors":"B. Meng, Xiao-li Xi, Jie Li","doi":"10.1109/NAECON.2009.5426607","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426607","url":null,"abstract":"In this paper, neural networks are used to decrease the Additional Secondary Phase Factors (ASF) error of Loran-C to improve the navigation accuracy. Through the training, the relationship between ASF corrections and seasons can be obtained, which is useful to compensate for the measured time-difference(TD) of Loran-C wave. The result proves that this method is effective and provides a new way for ASF correction.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130611227","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":"Supervised learning for adaptive interactive multiple model (SLAIMM) tracking","authors":"Erik Blasch","doi":"10.1109/NAECON.2009.5426622","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426622","url":null,"abstract":"To improve target tracking algorithms, supervised learning of adaptive interacting multiple model (SLAIMM) is compared to other interacting multiple model (IMM) methods. Based on the classical IMM tracking, a trained adaptive acceleration model is added to the filter bank to track behavior between the fixed model dynamics. The results show that the SLAIMM algorithm 1) improves kinematic track accuracy for a target undergoing acceleration, 2) affords track maintenance through maneuvers, and 3) reduces computational costs by performing off-line learning of system parameters. The SLAIMM method is compared with the classical IMM, the Munir Adaptive IMM, and the Maybeck Moving-Bank multiple-model adaptive estimator (MBMMAE).","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131712492","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":"Efficient sparse target tracking algorithm for navigation with UWB-OFDM radar sensors","authors":"Kyle Kauffman, D. Garmatyuk, J. Morton","doi":"10.1109/NAECON.2009.5426657","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426657","url":null,"abstract":"There is a great need to develop non-GPS based methods for position and navigation in situations where GPS is not available. This paper presents orthogonal frequency division multiplexed (OFDM) radar signals. Originally designed as a broadband communications device, the OFDM radar will serve an additional function as a navigation system. The paper focuses on the development of a signal processing method for using to the OFDM signal in synthetic aperture radar (SAR) configuration, for potential use as a navigation sensor.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121967660","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":"Target identification performance improvement from enhanced HRR radar clutter suppression","authors":"B. Kahler, Erik Blasch","doi":"10.1109/NAECON.2009.5426625","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426625","url":null,"abstract":"Airborne radar tracking in moving ground vehicle scenarios is impacted by sensor, target, and environmental dynamics. Moving targets can be assessed with 1-D High Range Resolution (HRR) Radar profiles with sufficient signal-to-noise (SNR) present which contain enough feature information to discern one target from another to help maintain track or to identify the vehicle. Typical radar clutter suppression algorithms developed for processing moving ground target data not only remove the surrounding clutter but also a portion of the target signature. Enhanced clutter suppression can be achieved using a multi-channel signal subspace (MSS) algorithm which preserves target features. In this paper, we exploit extra information from enhanced clutter suppression for automatic target recognition (ATR), present a gain comparison using displaced phase center antenna (DPCA) and MSS clutter suppressed HRR data, and generate confusion-matrix identification results. The results show that more channels for MSS increase ID over DCPA, result in a slightly noisier clutter suppressed image, and preserve more target features after clutter cancellation","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011815","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":"JPEG2000 code-stream interpreter","authors":"Brett S. Ballard, E. Balster","doi":"10.1109/NAECON.2009.5426632","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426632","url":null,"abstract":"A code-stream interpreter able to parse and determine image features, file attributes, and perform error detection utilizing an effective error classification method for JPEG2000 compressed images is proposed. The proposed implementation performs analysis on a JPEG2000 image to provide insight primarily for JPEG2000 encoder and decoder research and development. Results of the interpreter presented in this paper are demonstrated for various JPEG2000 compressed images. Parameter changes are made on these test images to both emulate different types of encoders and simulate prototype encoder bugs, even simulating a small amount of data loss which can occur after going through a transmission channel. The resulting JPEG2000 code-streams are then decoded by mainstream, commercial image decoders with JPEG2000 decoding capabilities and also tested with the proposed JPEG2000 code-stream interpreter. Results are demonstrated which reveal that the proposed interpreter provides information about the image which is occasionally unknown, overlooked, or even sometimes misinterpreted by commercial image decoders. Due to its dynamic error detection and classification capabilities, the JPEG2000 code-stream interpreter has potential to be adapted as an automated error correction system as a future area of research for either pre-decoder processing, or post-encoder processing after data transmission losses.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114338454","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":"Fractal antennas for conformal phased arrays","authors":"A. Ferendeci","doi":"10.1109/NAECON.2009.5426616","DOIUrl":"https://doi.org/10.1109/NAECON.2009.5426616","url":null,"abstract":"A new form of widebandwidth thin fractal antenna with a ground plane is introduced that can be conformally placed on any arbitrary surface. Parameters associated with antenna, its response for various stages and use of these antennas in an array is discussed.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124536483","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}