Abdulmajid Mrebit, H. Abdelbagi, Mansour Aljohani, M. Wicks
{"title":"Improved detection and track processing through scan-to-scan processing and scan rate modulation","authors":"Abdulmajid Mrebit, H. Abdelbagi, Mansour Aljohani, M. Wicks","doi":"10.1109/NAECON.2015.7443038","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443038","url":null,"abstract":"The objective of this research is to improve bi-static radar detection performance and fused track formation via joint scan-to-scan processing (SSP) and scan rate modulation. This concept employs two mechanically scanned radars (MSRs), with one operating as a master control radar (MCR) and the other a secondary slave radar (SSR). The MCR is designed to operate under conditions of variable scan rate, including scan rate modulation. These radars also have the potential to achieve a very high scan rate, and, therefore, are well suited for track-while-scan processing. The SSR is under the control of the MCR and responds mechanically to initial detection declarations and track formation handoff from the MCR. In this situation, detection and track performance is improved because both radars jointly process monostatic and bi-static returns. Even as these radars interrogate the same geospatial coordinates, the return signals may exhibit different cross section statistics because scattered signals are observed from different viewing angles. As such, all detection decisions are computed using simple logic rules (AND, OR etc.). The SSR rotates at a potentially much slower rate to provide long dwell time measurements, which enhances single dwell detection performance. However, the SSR may break track, due to the slow update rate. False alarms are reduced by scan-to-scan track processing, which exploits detection declaration history. The decision is made after a certain number of scans. If there is detection declaration in m out of n scans, a target is declared, if not, a threshold crossing is assumed to be a false alarm. With multiple declarations, distinguishing between two closely spaced targets is achieved by comparative analysis between track profiles and detections. A declaration is assumed to be correlated with its nearest neighbor. If a detection is far removed in distant from a track, this declaration is assumed to be from another target. Using two radars combines the advantages of a large number of scans, high probability of detection and low probability of false alarm. Therefore, all essential track-while-scan requirements are satisfied.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115425010","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":"Directivity of a plasmonic dipole optical antenna","authors":"Neda Mojaverian, Guiru Gu, Xuejun Lu","doi":"10.1109/NAECON.2015.7443104","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443104","url":null,"abstract":"Metallic plasmonic structures can modify the EM wave distribution and convert free-space propagation infrared light to localized surface plasmonic resonance (SPR). This can effectively function as an optical antenna and thus can enhance the performance of optical devices such as detectors and lasers. Most of the reported optical antenna devices are not closely interacted, which doesn't take full advantages of optical antennas. In addition, there is very few report on important antenna properties such as far-field pattern and antenna directivity. In this paper, we report a closed coupled plasmonic antenna and quantum dot infrared photodetector (QDIP). The plasmonic antenna directivity is measured and analyzed.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116640292","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":"Security offload using the SmartNIC, A programmable 10 Gbps ethernet NIC","authors":"Gerald Sabin, Mohammad J. Rashti","doi":"10.1109/NAECON.2015.7443082","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443082","url":null,"abstract":"The SmartNIC is a User-Programmable 10GE NIC designed around industry standards to meet the demands of high performance networking in HPC and datacenter communities. The SmartNIC enables application-specific offload engines to be developed. Application developers can implementation application-aware offload engines, network developers can test and develop network protocol offload engines, and researchers can test and develop new offload protocols and middleware. The available hardware offload engines facilitate that development and can improve the performance and scalability of high performance applications, including Data Center applications, large-scale parallel file systems, HPC applications, security/encryption, Big Data, and similar areas.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116093862","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}
D. Megherbi, G. Paradiso, I. Vakil, N. Limberopoulos, A. Urbas
{"title":"A wavelet de-noising signal processing method for overall noise-to-signal (NSR) profile extraction, characterization and comparison of 3μm-5μm MWIR strained-layer super-lattice (SLS) photo-detectors enhanced with microsphere lenses of different material structures and sizes","authors":"D. Megherbi, G. Paradiso, I. Vakil, N. Limberopoulos, A. Urbas","doi":"10.1109/NAECON.2015.7443054","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443054","url":null,"abstract":"MWIR detectors have received a lot of attention due to their importance and high viability in many civilian and military applications, such as target identification, bio-imaging, medical field, and defense. One crucial component in achieving high-sensitivity performance in MWIR photo-detectors, is obtaining reasonable MWIR high detector signal-to-noise ratio (SNR) profiles. The classical IR photo-detector SNR model is limited as it does not reflect modeling of all physical factors, including detector environment sources causing undesired noise. In general, there is a need for better empirical methods to accurately estimate and extract the detector integrated-sources of imperfection noise. In this paper we present and discuss a non-parametric wavelet-based de-noising signal processing method for accurate extraction, characterization and comparison of the overall combined effects of detector sources of noise, including spectral fabrication imperfection noise, electronics testing equipment imperfection noise, and microsphere lens material fabrication/alignment imperfection noise, among others, of eleven (11) 3μm-5μm MWIR InAS/GaSb strained-layer Superlattice (SLS) single photodetectors enhanced with microsphere-lenses of different material structures/sizes. With the collected spectral FTIR data considered and the detector wavelet-denoising-based extracted NSR, the results show that there is a decrease (improvement) of about 71 % (difference between lens-enhanced and no-lens-enhanced NSR values divided by no-lens-enhanced NSR) in the noise-to-signal ratio (NSR) of the SLS photodetector of size 40μm and enhanced with a microsphere-lens sapphire of size 300μm in the targeted 3μm-5μm MWIR wavelength-band considered.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128441766","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":"Design of wide temperature range resonant-mode absolute MEMS pressure sensor","authors":"G. Xereas, Charles Allan, V. Chodavarapu","doi":"10.1109/NAECON.2015.7443073","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443073","url":null,"abstract":"We describe the design and fabrication of a resonant absolute MEMS pressure sensor using a semi-custom fabrication process. We selected a double anchored Double-Ended Tuning Fork (DETF) resonator for this work. The pressure sensor design is based on fabricating two resonant structures side by side using MEMS Integrated Design for Inertial Sensors (MIDIS) process, a commercial pure-play MEMS process recently introduced by Teledyne DALSA Semiconductor Inc. (TDSI). The fabricated devices from MIDIS process are then post-processed to etch the handle wafer below one of the resonator devices (sensor) down to a pre-determined thickness that bends in response to the external ambient pressure. The second resonator is used as the reference where the handle wafer is left untouched. The proposed differential setup enables the pressure sensor to operate over a wide temperature range from -55°C to 225°C.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130657604","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}
Y. Guzel, M. Almutiry, Thang M. Tran, A. Nassib, M. Wicks, Nihad Al-Faisali, L. Monte
{"title":"A fast matched-filtered approach for GPR","authors":"Y. Guzel, M. Almutiry, Thang M. Tran, A. Nassib, M. Wicks, Nihad Al-Faisali, L. Monte","doi":"10.1109/NAECON.2015.7443066","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443066","url":null,"abstract":"This paper propose a fast, matched-filtered based imaging algorithm to detect below ground object To image below ground objects, a set of distributed transmitters and receivers are placed above the ground, or slightly buried. These transmitters radiate waveforms into the subsurface. The resulting wavefront impinges upon underground objects, scattering electromagnetic energy in all directions. Receivers collects the reflected electromagnetic signal, retrieve the phasor of the scattered signals, and transmit this information to systems for post-processing. After applying adaptive signal processing algorithms to collected data, an image of the buried objects can be reconstructed. Reconstructed 2D of buried objects are computed via numerical discretization and match filtering techniques. Match filtering technique is faster and it reduces computational power that required to process the collected data. The matched-filtered approach is easier to implement as compared to matrix inversion. Results from simulation analysis are used to validate this method.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124230834","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":"Ex-situ programming in a neuromorphic memristor based crossbar circuit","authors":"C. Yakopcic, T. Taha","doi":"10.1109/NAECON.2015.7443087","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443087","url":null,"abstract":"This paper discusses a feedback programming method for a high density crossbar. This programming technique is capable of operating without the use of any transistor or diode isolation at the memristor crosspoints. A series of reads is applied to the crossbar before each write that is able to determine the resistance of each memristor in the crossbar despite the many parallel resistance paths. This is essential because the variation observed in memristor crossbars makes programming very difficult when using just a single write pulse without error checking. The programming method is then used to program a neuromorphic crossbar. Results show successful ex-situ training of a high density crossbar with significant area savings when compared to a one transistor one memristor (1T1M) design. A comparison between different crossbar designs is performed relative to the A-to-D complexity required to program each circuit for a varying device resistance ratio and programming precision.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132222846","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":"Unsupervised learning in neuromemristive systems","authors":"Cory E. Merkel, D. Kudithipudi","doi":"10.1109/NAECON.2015.7443093","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443093","url":null,"abstract":"Neuromemristive systems (NMSs) currently represent the most promising platform to achieve energy efficient neuro-inspired computation. However, since the research field is less than a decade old, there are still countless algorithms and design paradigms to be explored within these systems. One particular domain that remains to be fully investigated within NMSs is unsupervised learning. In this work, we explore the design of an NMS for unsupervised clustering, which is a critical element of several machine learning algorithms. Using a simple memristor crossbar architecture and learning rule, we are able to achieve performance which is on par with MATLAB's k-means clustering.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127247489","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 novel multi-loop QFT robust control methodology for cascade control systems","authors":"Sameer Alsharif, M. Garcia‐Sanz","doi":"10.1109/NAECON.2015.7443103","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443103","url":null,"abstract":"In attempt to improve the conventional method, we proposed a new iterative methodology. The new methodology starts with the inner loop to design a controller with desired control specifications formulated as quadratic inequalities and QFT-bounds. Then, with the resulting inner controller the outer loop is designed in a similar way as the inner one, and as a function of the inner loop design. Subsequently new control specifications, quadratic inequalities and QFT-bounds based on sensitivity functions of two controllers already designed are formulated and added to the original set of QFT-bounds of the inner loop, restarting the design of the controllers in an iterative methodology. By Cascade-Control theory, the inner loop must be faster; therefore, adding QFT-bounds of the outer loop to the inner loop will be helpless because the inner loop is more demanding one. Therefore, we add a new cascade controller external to the outer loop (new loop) and apply our theory on the outer and the new loops. We continue this process, adding additional external loops, until we meet our objective function. Alternatively, gradual decrease of sensitive function at low frequency for each loop leads to the same conclusion. In this paper we present this new control design methodology and expand it to \"n\" cascade control loops. We also validate the methodology improving a classical electrical motor cascade control system with current, velocity and position loops.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115210507","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":"Methods for reducing memristor crossbar simulation time","authors":"Roshni Uppala, C. Yakopcic, T. Taha","doi":"10.1109/NAECON.2015.7443089","DOIUrl":"https://doi.org/10.1109/NAECON.2015.7443089","url":null,"abstract":"Memristor crossbars have the potential to perform parallel resistive computations in the analog domain, and they can be used to develop high density neural network algorithms. However, accurately simulating large memristor crossbars in SPICE (with more than 256 devices) is very difficult and time consuming. This paper discusses using Xyce (a parallel SPICE platform developed by Sandia Labs) to speed up memristor crossbar simulation. Using Xyce, we were able to successfully train neuromorphic memristor crossbars containing 10,096 memristors to learn a large array of linearly separable logic functions. Large memristor crossbars were also used for pattern recognition using both the MNIST and CBCL face datasets. To further reduce training time, a memristor crossbar approximation was simulated in MATLAB. Modeling a crossbar in MATLAB takes significantly less time, but is slightly less accurate. The trained resistance values determined by MATLAB were then downloaded to the more precise crossbar simulated in Xyce (which contains input drivers, comparator circuits, and wire resistance). The classification accuracy found in Xyce was then compared to the accuracy determined when testing the approximated crossbar in MATLAB, as well as a traditional software neural network implementation. To the best of our knowledge, this is the first published result that describes using XYCE to simulate a neuromorphic memristor crossbar using accurate memristor modeling techniques.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124234224","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}