Pub Date : 2019-07-01DOI: 10.1109/NAECON46414.2019.9058302
A. Fam, Alex Byrley
This paper discusses a receiver for a new class of Doppler estimation capable radar waveforms formed by appending a CDMA signature to a Doppler estimation capable radar waveform in a separate frequency band. The CDMA signature is created from a sequence of modulated linear chirp functions. Reception begins by separating the radar and signature bands via a bandpass filter, digitizing, and feeding the resulting signals into separate data buffers. The receiver is time sychronized and the Doppler shift is estimated by matched filtering the radar waveform. The CDMA signature is decoded by convolving the chips with a Doppler adjusted matched filter, thresholding, sampling at the peaks, and finding the closest signature in a codebook. This paper illustrates these waveforms, their receiver, and their performance against Swerling III and IV targets, noise, and a Doppler shift.
{"title":"A Receiver for Doppler Estimation Capable Waveforms Utilizing Chirp Signature Diversity","authors":"A. Fam, Alex Byrley","doi":"10.1109/NAECON46414.2019.9058302","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9058302","url":null,"abstract":"This paper discusses a receiver for a new class of Doppler estimation capable radar waveforms formed by appending a CDMA signature to a Doppler estimation capable radar waveform in a separate frequency band. The CDMA signature is created from a sequence of modulated linear chirp functions. Reception begins by separating the radar and signature bands via a bandpass filter, digitizing, and feeding the resulting signals into separate data buffers. The receiver is time sychronized and the Doppler shift is estimated by matched filtering the radar waveform. The CDMA signature is decoded by convolving the chips with a Doppler adjusted matched filter, thresholding, sampling at the peaks, and finding the closest signature in a codebook. This paper illustrates these waveforms, their receiver, and their performance against Swerling III and IV targets, noise, and a Doppler shift.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116902421","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9058116
Jenny Liu, A. Vakil, R. Ewing, Xiaoping Shen, Jia Li
Human presence detection is a critical field in certain circumstances such as natural disasters and surveillance systems. This paper presents a new approach that utilizes software defined radio to passively collect radio frequency data and applying deep learning neural network to detect human presence. It provides a low cost and environment friendly solution. The long term goal of this study is to develop a deep learning based spectrum monitoring system.
{"title":"Human Presence Detection via Deep Learning of Passive Radio Frequency Data","authors":"Jenny Liu, A. Vakil, R. Ewing, Xiaoping Shen, Jia Li","doi":"10.1109/NAECON46414.2019.9058116","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9058116","url":null,"abstract":"Human presence detection is a critical field in certain circumstances such as natural disasters and surveillance systems. This paper presents a new approach that utilizes software defined radio to passively collect radio frequency data and applying deep learning neural network to detect human presence. It provides a low cost and environment friendly solution. The long term goal of this study is to develop a deep learning based spectrum monitoring system.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235148","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9057826
F. Harlow, Naecon Tutorials
Provides an abstract for each of the tutorial presentations and may include a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
{"title":"NAECON 2019 Tutorials","authors":"F. Harlow, Naecon Tutorials","doi":"10.1109/NAECON46414.2019.9057826","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9057826","url":null,"abstract":"Provides an abstract for each of the tutorial presentations and may include a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126618811","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9057832
A. Razaque, Fathi H. Amsaad, M. J. Khan, Amanzholova Saule Toksanovna, A. Oun, Muder Almiani
Wireless Sensor Networks (WSNs) play vital role in several fields and particularly add more in the health domain. Several applications in the health domain utilize the WSNs to diagnose the disease and cure the patients. However, there is threat and risk involved for exploiting the privacy of the patient and deteriorating the performance of operating tools and systems. There are few existing approaches handling the attacks to maintain the privacy issue of wireless body area sensor networks (WBASNs). Most of the threats are expected on the Medium Access Control (MAC) sub-layer that affect the performance of WBANs. In this paper, we introduce privacy preserving Medium Access Control (PP-MAC) to detect the selfish attack. The algorithm aims to save energy because selfish attack leads to additional energy consumption. In this type of attack, the illegitimate node has edge over the legitimate nodes at the MAC sub-layer. As a result, the illegitimate node consumes the resources negatively. The effectiveness of our proposed algorithm is tested by using OMNET++ and compared with other known existing MAC protocols designed for WBANs. Based on the simulation results, our proposed protocol performs better than other protocols in detecting the rate of selfish attacks, saving the energy, and performance throughput.
{"title":"Privacy Preserving Medium Access Control Protocol for wireless Body Area Sensor Networks","authors":"A. Razaque, Fathi H. Amsaad, M. J. Khan, Amanzholova Saule Toksanovna, A. Oun, Muder Almiani","doi":"10.1109/NAECON46414.2019.9057832","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9057832","url":null,"abstract":"Wireless Sensor Networks (WSNs) play vital role in several fields and particularly add more in the health domain. Several applications in the health domain utilize the WSNs to diagnose the disease and cure the patients. However, there is threat and risk involved for exploiting the privacy of the patient and deteriorating the performance of operating tools and systems. There are few existing approaches handling the attacks to maintain the privacy issue of wireless body area sensor networks (WBASNs). Most of the threats are expected on the Medium Access Control (MAC) sub-layer that affect the performance of WBANs. In this paper, we introduce privacy preserving Medium Access Control (PP-MAC) to detect the selfish attack. The algorithm aims to save energy because selfish attack leads to additional energy consumption. In this type of attack, the illegitimate node has edge over the legitimate nodes at the MAC sub-layer. As a result, the illegitimate node consumes the resources negatively. The effectiveness of our proposed algorithm is tested by using OMNET++ and compared with other known existing MAC protocols designed for WBANs. Based on the simulation results, our proposed protocol performs better than other protocols in detecting the rate of selfish attacks, saving the energy, and performance throughput.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114462817","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9058169
K. Adhikari, Benjamin Drozdenko
Nested and coprime arrays have high degrees of freedom that can be exploited in direction of arrival estimation using various algorithms. Most algorithms use a combination of product processing, min processing, and MUSIC. We show that direct MUSIC with unbiased autocorrelations estimates is superior to other algorithms.
{"title":"Comparison of MUSIC Variants for Sparse Arrays","authors":"K. Adhikari, Benjamin Drozdenko","doi":"10.1109/NAECON46414.2019.9058169","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9058169","url":null,"abstract":"Nested and coprime arrays have high degrees of freedom that can be exploited in direction of arrival estimation using various algorithms. Most algorithms use a combination of product processing, min processing, and MUSIC. We show that direct MUSIC with unbiased autocorrelations estimates is superior to other algorithms.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123919773","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9058170
Rajas Chitanvis, N. Ravi, Tanmay Zantye, M. El-Sharkawy
According to the World Health Organizations (WHO) report nearly 1.25 million people die in road accidents every year. This creates a need for Advanced Driver Assist Systems (ADAS) which can ensure safe travel. To tackle the above challenge in existing the ADAS, Intra-vehicular communications (V2V) and vehicle to infrastructure communications (V2I) has been one of the predominant research topics nowadays due to the rapid growth of automobile industries and ideology of producing autonomous cars in the near future. The key feature of V2V communication is vehicle to vehicle collision detection by transmitting information like vehicle speed and position of a vehicle to other vehicles in the same location using wireless sensor networks (WSN). On the other hand, Unmanned Aerial Vehicle (UAV) systems are growing at a rapid rate in various aspects of life including dispatch of medicines and undergo video surveillance during an emergency due to less air traffic. This paper demonstrates the practice of integrating V2V communication with Thread, one of the low power WSN for data transmission, to initiate adaptive cruise control in a vehicle during a crisis. Also, UAV systems are employed as a part of V2I system to provide aerial view video surveillance if any accident occurs.
{"title":"Collision avoidance and Drone surveillance using Thread protocol in V2V and V2I communications","authors":"Rajas Chitanvis, N. Ravi, Tanmay Zantye, M. El-Sharkawy","doi":"10.1109/NAECON46414.2019.9058170","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9058170","url":null,"abstract":"According to the World Health Organizations (WHO) report nearly 1.25 million people die in road accidents every year. This creates a need for Advanced Driver Assist Systems (ADAS) which can ensure safe travel. To tackle the above challenge in existing the ADAS, Intra-vehicular communications (V2V) and vehicle to infrastructure communications (V2I) has been one of the predominant research topics nowadays due to the rapid growth of automobile industries and ideology of producing autonomous cars in the near future. The key feature of V2V communication is vehicle to vehicle collision detection by transmitting information like vehicle speed and position of a vehicle to other vehicles in the same location using wireless sensor networks (WSN). On the other hand, Unmanned Aerial Vehicle (UAV) systems are growing at a rapid rate in various aspects of life including dispatch of medicines and undergo video surveillance during an emergency due to less air traffic. This paper demonstrates the practice of integrating V2V communication with Thread, one of the low power WSN for data transmission, to initiate adaptive cruise control in a vehicle during a crisis. Also, UAV systems are employed as a part of V2I system to provide aerial view video surveillance if any accident occurs.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115141287","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9057898
Pranay Bhardwaj, C. Purdy
Paper checklists are being replaced by software on a tablet computer, i.e., an Electronic Flight Bag (EFB). We focus on what effects this can have on the human pilot and on safety and security. We define practical EFB modifications, implementable in an app, to improve trustworthiness, especially for general aviation (GA).
{"title":"Safety and human factors for electronic flight bag usage in general aviation","authors":"Pranay Bhardwaj, C. Purdy","doi":"10.1109/NAECON46414.2019.9057898","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9057898","url":null,"abstract":"Paper checklists are being replaced by software on a tablet computer, i.e., an Electronic Flight Bag (EFB). We focus on what effects this can have on the human pilot and on safety and security. We define practical EFB modifications, implementable in an app, to improve trustworthiness, especially for general aviation (GA).","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122730030","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9058036
K. Yost, Will Perdikakis, Brett Robbins, Chase Kitzmiller
The electrical power generation capacity of aerospace electric machines has grown considerably in both modern and future aircraft. While electrical power provides many performance and efficiency advantages, the added capacity also increases the available electrical fault current. Consequently, it is critical to understand the response of the electric machine to a fault and design protection schemes to de-energize the machine in order to mitigate any potential damage to the aircraft.This paper experimentally compares the response time of a wound-field synchronous generator when simultaneously shorting the terminal windings and opening the exciter field windings for no-load and loaded conditions. These results are compared against the response times to fault conditions in which the generator continues excitation throughout the shorting event. This experimental set can be used to empirically evaluate the magnitudes of peak current and the stored energy of the wound-field brushless electrical generating system. A subset of the experimental matrix is used to simulate a crowbar across the generator armature windings.
{"title":"Time Response of a De-energizing Aerospace Synchronous Generator","authors":"K. Yost, Will Perdikakis, Brett Robbins, Chase Kitzmiller","doi":"10.1109/NAECON46414.2019.9058036","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9058036","url":null,"abstract":"The electrical power generation capacity of aerospace electric machines has grown considerably in both modern and future aircraft. While electrical power provides many performance and efficiency advantages, the added capacity also increases the available electrical fault current. Consequently, it is critical to understand the response of the electric machine to a fault and design protection schemes to de-energize the machine in order to mitigate any potential damage to the aircraft.This paper experimentally compares the response time of a wound-field synchronous generator when simultaneously shorting the terminal windings and opening the exciter field windings for no-load and loaded conditions. These results are compared against the response times to fault conditions in which the generator continues excitation throughout the shorting event. This experimental set can be used to empirically evaluate the magnitudes of peak current and the stored energy of the wound-field brushless electrical generating system. A subset of the experimental matrix is used to simulate a crowbar across the generator armature windings.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127769005","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9058204
Mohamed Aladem, S. Rawashdeh
Robotic perception continues to be one of the main challenges in autonomous robotics. Accurate and real-time perception is very important as it constitutes the basis of important tasks such as decision making and control. The latency of the sensing pipeline is a major limiting factor for the agility of a robot. A novel sensor called an event camera has been recently developed to overcome the limitations of traditional frame-based ones. Event cameras mimic the human perception system as they measure the per-pixel intensity change rather than the actual intensity level. This paper presents our initial investigation of this novel sensing modality by building an event-based dynamic multi-cluster tracker. This can constitute a building-block for higher-level event-based multi-object trackers. The clustering algorithm will be experimentally evaluated in different scenarios including its use for mapping.
{"title":"A Multi-Cluster Tracking Algorithm with an Event Camera","authors":"Mohamed Aladem, S. Rawashdeh","doi":"10.1109/NAECON46414.2019.9058204","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9058204","url":null,"abstract":"Robotic perception continues to be one of the main challenges in autonomous robotics. Accurate and real-time perception is very important as it constitutes the basis of important tasks such as decision making and control. The latency of the sensing pipeline is a major limiting factor for the agility of a robot. A novel sensor called an event camera has been recently developed to overcome the limitations of traditional frame-based ones. Event cameras mimic the human perception system as they measure the per-pixel intensity change rather than the actual intensity level. This paper presents our initial investigation of this novel sensing modality by building an event-based dynamic multi-cluster tracker. This can constitute a building-block for higher-level event-based multi-object trackers. The clustering algorithm will be experimentally evaluated in different scenarios including its use for mapping.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"150 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606011","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 : 2019-07-01DOI: 10.1109/NAECON46414.2019.9057862
Thomas Le Pichon, S. Keshmiri
Many traditional guidance algorithms for Unmanned Aerial Systems will command maneuvers that may be over-aggressive in sharp turns or large errors, especially in the longitudinal frame which can result in stall. To prevent this, more gradually increasing or steady ascent/descent/turn rates should be commanded. In longitudinal, a guidance law is developed using aircraft dynamics that both keeps trim conditions salient while also tightly constraining ascent/descent rates, which can then be optimized through the linear quadratic regulator technique. Furthermore, this base guidance is decoupled from initial conditions. In lateral, a curvature path planning navigation is introduced to eliminate step input controls in turns. Results show that the aircraft can track the path as well as traditional algorithms, while also producing more reasonable reactions to lateral and longitudinal errors.
{"title":"Optimized Guidance Methods for Smooth Transitions in UAS Path Following","authors":"Thomas Le Pichon, S. Keshmiri","doi":"10.1109/NAECON46414.2019.9057862","DOIUrl":"https://doi.org/10.1109/NAECON46414.2019.9057862","url":null,"abstract":"Many traditional guidance algorithms for Unmanned Aerial Systems will command maneuvers that may be over-aggressive in sharp turns or large errors, especially in the longitudinal frame which can result in stall. To prevent this, more gradually increasing or steady ascent/descent/turn rates should be commanded. In longitudinal, a guidance law is developed using aircraft dynamics that both keeps trim conditions salient while also tightly constraining ascent/descent rates, which can then be optimized through the linear quadratic regulator technique. Furthermore, this base guidance is decoupled from initial conditions. In lateral, a curvature path planning navigation is introduced to eliminate step input controls in turns. Results show that the aircraft can track the path as well as traditional algorithms, while also producing more reasonable reactions to lateral and longitudinal errors.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126416858","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}
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