• 11 July 2019

    Jérémy Brossard passed his Ph.D. oral defence

    Congratulations to Jérémy Brossard who has successfully defended his Ph.D. dissertation entitled “ Application de la commande B à un quadricoptère ” , the June 7th, 2019.
    The jury members include:
    Prof. David Bensoussan, Thesis Supervisor, Department of electrical engineering, ÉTS
    Prof. René Jr Landry, (...)

    (More details)

  • 11 July 2019

    NextGen MIMO SDAR Project receives NSERC Collaborative Research and Development (CRD) Funding

    −Universities and aerospace companies collaborate to develop an integrated communication, navigation and surveillance solution for use in modern aircraft and Unmanned Aerial Vehicles−
    MONTREAL, QUEBEC – July 11, 2019 – The project entitled “Next-Generation SDR Avionics for Communication, Navigation and Surveillance” (...)

    (More details)

  • 13 March 2019

    Tilahun Melkamu Getu passed his Ph.D. oral defence with the highest ETS distinction and excellence!

    Congratulations to Tilahun Melkamu Getu who has successfully defended his Ph.D. dissertation entitled “Advanced RFI Detection, RFI Excision and Spectrum Sensing: Algorithms and Performance Analyses” as of March 7th, 2019.
    Being part of the NSERC CRD AVIO-601 project pursued under the leadership of LASSENA, the (...)

    (More details)

  • 11 March 2019

    Mohamed Lajmi Cherif passed his master oral exam successfully!

    Congratulations to Mohamed Lajmi Cherif who successfully completed his Master oral defense titled “Linear multi-sensor integrated navigation system for reliable car navigation in a harsh environment” on February 27th, 2019.
    As a part of the NSERC CRD VTADS project at LASSENA, the goal of his research is to (...)

    (More details)

  • 18 December 2018

    Abdessamad Amrhar passed his master oral exam successfully!

    Congratulations to Abdessamad Amrhar who successfully completed his Master oral defense titled “RECONFIGURABLE FPGA IMPLEMENTATION FOR AVIONIC SYSTEMS” on December 11th, 2018. He also got the following mention: Excellent with full recommendation of the jury to the best ÉTS master degree competition.
    As a part of (...)

    (More details)

  • 6 December 2018

    Eric Zhang passed his master oral exam successfully!

    Congratulations to Eric Zhang who successfully completed his Master oral defense titled “Design and Implementation of a Wideband Radio for Avionic Applications” on December 3rd, 2018.
    As a part of the NSERC CRD AVIO-505 project at LASSENA, the goal of his research is to design and implement a Wideband Radio (WBR) (...)

    (More details)

  • 12 October 2018

    Golrokh Araghi passed her master oral exam successfully!

    Congratulations to Golrokh Araghi who successfully completed her Master oral defense entitled “Development of a temperature dependent model for online calibration of very low-cost inertial sensors” on October 10, 2018.
    As a part of the NSERC CRD VTADS project at LASSENA, her work focus on development of (...)

    (More details)

  • 4 October 2018

    Congratulations to Dr. Maherizo Andrianarison

    Congratulations to Dr. Maherizo Andrianarison who successfully completed his PhD defense on October 2, 2018. The title of his thesis is “New Methods and Architectures for High Sensitivity Hybrid GNSS Receivers in Challenging Environments”. His PhD work involves the processing of weak GNSS signals by proposing new (...)

    (More details)

  • 3 October 2018

    The AVIO-505 Project won the Best of Session (CNS-C: Communications Technologies) Award at 37th DASC

    Congratulations to the AVIO-505 team! The paper “In-Flight Performance Analysis of a Wideband Radio Using SDR for Avionic Applications” won the Best of Session (CNS-C: Communications Technologies) Award at 37th AIAA/IEEE Digital Avionics Systems Conference (DASC). The authors of the paper are Anh-Quang Nguyen, (...)

    (More details)

  • 29 August 2018

    Anh-Quang Nguyen passed his master oral exam successfully with the degree of excellence!

    Congratulations to Anh-Quang Nguyen who passed his master oral defense entitled “Direct RF Sampling Architecture for VHF Avionics” with the degree of excellence on August 29, 2018.
    As a part of the CRIAQ AVIO-505 project at LASSENA, his work focuses on studying the feasibility and capability of the DRFS (...)

    (More details)

  • 26 February 2018

    The AVIO-505 8th and last Scientific Meeting was successfully held!

    The 8th and last Scientific Meeting of the AVIO-505 project was successfully held on February 19, 2018, at the Department of Electrical Engineering of ÉTS. Twenty-one attendees including professors, students, industrial partners (from Bombardier, Marinvent) and special guests (from Thales UK, SII Canada, CMC, CAE, (...)

    (More details)

  • 24 January 2018

    Congratulations to Dr Neda Navidi

    Congratulations to Dr. Neda Navidi who successfully completed her PhD defense on January 19, 2018. Her thesis "Driving Behavior Assessment Based on GPS and Inertial Sensors Measurements" will be available on the LASSENA website in the coming weeks. The jury members include: • Prof. René Jr Landry, Thesis (...)

    (More details)

  • 19 October 2017

    Dave Côté passed successfully his master oral exam!

    Congratulations to Dave Côté who passed his master oral defense on October 4, 2017.
    His thesis title is "Détermination de l’angle de lacet et tangage à partir d’un récepteur GPS simple fréquence et comparaison des performances à des récepteurs de qualité public et géodésique". The primary objective of his research is to (...)

    (More details)

  • 22 September 2017

    LASSENA AVIO-505 won the Best of Session (IMA-4) Award at DASC’17

    Congratulation to AVIO-505 team! The paper "Direct RF Sampling Transceiver Architecture Applied to VHF Radio, ACARS, and ELTs" won the Best of Session (IMA-4) Award at DASC’17. This paper also got to the semi-finalist of Student Research Competition at this conference, and therefore AVIO-505 have the chance to (...)

    (More details)

  • 22 September 2017

    Congratulations,Neda Navidi! Best Paper Award in ICCSTE 2017.

    Congratulations to Mme. Neda Navidi who was presented the Best Paper Award in ICCSTE 2017 (Vancouve,Canada,August 7-8,2017).
    Mme. Neda Navidi is a PhD student under the supervision of Prof. Rene Jr Landry, and the paper rewarded is "Location Detection of Vehicular Accident Using Global Navigation Satellite (...)

    (More details)

  • 22 September 2017

    Congratulations! Best Student Paper Award in ICNS 2017

    Congratulations to Mr. Abdessamad Amrhar who was presented the Best Student Paper Award in ICNS 2017( Herdon, VA,USA, April 18-20, 2017). We also congratulate the other authors of the paper: Alireza Avakh Kisomi, Eric Zhang, Joe Zambrano, Claude Thibeault, René Jr. Landry. Mr. Abdessamad Amrhar is a Master (...)

    (More details)

  • 26 September 2015

    Adrien Mixte passed successfully his master oral exam !

    Congratulations to Adrien Mixed which received honors for his defense on August 28, 2015.
    His project, ibNav, focused on the development of a prototype capture movements and inland waterways based on the use of imu-mems platforms at low cost.
    IbNav uses low cost inertial sensors combined with inertial algorithms (...)

    (More details)

  • 26 September 2015

    Mr. Marc-Antoine Fortin made his PhD oral exam successfully and distinction « Excellence »

    Congratulations to Mr. Marc-Antoine Fortin who made his PhD oral exam successfully. The works of mister Fortin’s master’s degree, subject the title of which is entitled "Robustness Techniques for Global Navigation Satellite Systems (GNSS) Receivers" overseen by professor Landry, prevailed him the recognition of the (...)

    (More details)

  • 26 September 2015

    Mrs.Neda Navidi gets the Best Poster Award attributed by the UAV-g 2015

    Congratulations to Mrs. Neda Navidi who gets the Best Poster Award during the UAV-g 2015 conference, in Toronto, Canada, the September 2nd 2015.
    Mrs.Neda Navidi, a PH.D Student in ETS and overseen by professor Landry, was rewarded for his paper entitled "A new survey on self-tuning integrated low-cost GPS/INS (...)

    (More details)

  • 22 May 2015

    LASSENA’s work awarded at 2015 ICNS

    The work entitled "Integrated Direct RF Sampling Front-end for VHF Avionics Systems" has been recognized as the Best Future Communications Paper at the 2015 Integrated Communication, Navigation, & Surveillance Conference held at Herndon (USA) on April 21-23, 2015. This publication, which has been generated as (...)

    (More details)

  • 20 October 2014

    LASSENA’s work awarded at 33rd DASC

    The work entitled "DME/DME Navigation using a Single Low-Cost SDR and Sequential Operation" has been recognized as the Best Paper of the Session at the 33rd Digital Avionics System Conference held at Colorado Springs (USA) on October 5-9, 2014. This publication, which has been generated as a result of AVIO-505 (...)

    (More details)

  • 9 October 2014

    New research project awarded by NSERC in the field of protection against satellite interference: AVIO-601

    Recently, Professor René Jr. Landry from the Department of Electrical Engineering of ÉTS has obtained a Collaborative Research and Development grant (CRD) from NSERC and co-funded by CRIAQ with a budget over $1.8M. The four-year research project will be conducted in collaboration with four industrial partners (MDA, (...)

    (More details)

  • 24 September 2014

    Stéphane Ehouman has obtained the second prize at ReSMiQ Innovation Day

    Congratulations to Mr. Stéphane Ehouman who has obtained the second prize at ReSMiQ Innovation Day competition celebrated on September 18, 2014. Stéphane presented his PFE : "Development of a VOR Receiver Using a USRP Software Defined Radio", carried out at LASSENA under the supervision of Professor (...)

    (More details)

  • 27 August 2014

    Mohammad Honarparvar passed successfully his Ph.D. oral exam (DGA-1033)

    Congratulations to Mr. Mohammad Honarparvar who passed the Ph.D. oral examination part of his DGA-1033. Mohammad’s thesis is entitled : "Design of a Reconfigurable RF ADC For Flexible Direct RF Sampling Avionic Receivers". Mohammad’ is supervised by Professor Landry and co-supervised by Professor Sawan from École (...)

    (More details)

  • 27 June 2014

    AMOOS Conferences

    The LASSENA is pleased to invite you to international conferences about AMOOS project, Autonomous Mission for On-Orbit Servicing, of the 2014 ISU SSP.
    Four conferences will take place during 2 weeks :
    June 18th 2014 : Steve Ulrich, from Carlton University, will expose you Advanced GN&C Systems for (...)

    (More details)

  • 20 June 2013

    Performance improvements of a navigation algorithm INS / GPS low cost used in urban areas

    To provide a solution robust and accurate navigation , GPS receivers must operate in optimal conditions , that is to say have a direct line of sight with at least four satellites, which is hard to find in an urban environment where GPS signals may be contaminated with significant multipath errors . Coupling GPS (...)

    (More details)

Slide Slide Slide Slide

Current projects



Permanent Navigation and Surveillance for Autonomous Airborne and Ground Vehicles (NESIVA)

Researchers:

René Jr Landry (ÉTS Lead), Jean-Marc Gagné (ÉTS, Project Manager)

Beginning date:

3 January 2023

Project duration :

3 years

Description :

Software-Defined Radio (SDR) R&D performed by Laboratory of Space Technologies, Embedded Systems, Navigation and Avionics (LASSENA) from ÉTS during the last few years on Software Defined Radios (SDR), have identified the new Signal of Opportunity (SoOP) technology as very promising as a source of positioning and intruder detection data. Signals transmitted by Low Elevation Orbit (LEO) satellites, which quantity is increasing exponentially around earth, as well as by 3G/4G/5G/6G towers, will be used as Positioning, Navigation and Timing (PNT), and intruder Detection data (PNT-D), which are indispensable for autonomous airborne (UAM, drones, A/C, helos…) and ground (cars, trucks, buses, trains…) vehicles. Although other systems, such as GNSS and inertial sensors provide positioning data, and LIDAR/RADAR provide detection data, SoOP will provide alternative and dissimilar PNT-D information that will be indispensable to reach the level of integrity and availability required for autonomous transportation. It is to be noted that SoOP is a passive and non-cooperative technology which provides the required backup/robustness in case of cyberattack on current systems. Only a few research centers (ICU, Virginia Tech...) have published their work on SoOP, and the door is open for Quebec to take a worldwide leadership in this disruptive technology that may become a standard by the end of our decade.


Partners :


Show the list of publications related to this project




Automatized deck landing for a double rotors helicopter UAV

Researchers:

R. Jr Landry (ÉTS, Lead), Hamza Benzerrouk (ÉTS), Mohammad Sefidgar (ÉTS), Thibault Magoutier (ÉTS)

Beginning date:

1 January 2020

Project duration :

3 years

Description :

The prime objective of this research would be to conduct autonomous precision landing of an Unmanned Autonomous Vehicle (UAV) on mobile platforms including maritime platform and military vessel helipad. The developed system will be used on LX300, a real and considerable dimensions twin-rotor unmanned helicopter, manufactured by Laflamme Aero and with the goal of maritime surveillance. This UAV will navigate in area where there are no navigation beacons and will only be able to use satellite systems. However, maritime decks are small and can’t handle traditional beacon system because of their structure and are subject to the strong swell which cause big attitude changes. Hence, this matter necessitates better alternatives to get a better accuracy than a GNSS system, and the synchronization of the drone and the platform to get a soft, accurate and safe landing for both the drone and the platform.
To materialize this goal, two parallel systems will be developed to compute the relative distance and the relative attitude between the drone and the platform:
-  The first consists of a robust system of tracking the position of the drone in relation to the platform, calculating the range and synchronizing attitude by communicating between two little sized modules, one on the platform and the other on the drone. A GPS/Real Time Kinematic (RTK) system will be used for relative position and a relative IMU/AHRS system to synchronise attitudes.
-  The second method is to use a lightweight vision system along with four rangefinders. The First phase would be detection of the landing zone from a certain distance. Then, the trajectory will be built, and the control action will be computed. In succeeding stage, the camera will keep the rotorcraft oriented with ship landing deck and simultaneously the rangefinders will model the attitude of the landing zone. Lastly, the most optimized and safe time will be calculated, and the final alighting task will be conducted.
Finally, to approach a more effective system these sensors data will be fused, using filters like extended Kalman filter and unscented Kalman filters.


Partners :


Show the list of publications related to this project




Discovery Grants Program: Universal Software Defined Avionic Receiver (SDAR) for Robust and Resilient Positioning, Navigation and Timing (PNT)

Researchers:

René Jr Landry

Beginning date:

1 May 2019

Project duration :

5 years

Description :

The main objective of this research program is to investigate fusion architecture and new methods for developing a universal Software-Defined Avionic Receiver (SDAR) with robust and resilient positioning, navigation, and timing (PNT) performance, especially in Global Navigation Satellite System (GNSS)-challenged environments and in different airspace classification. The universal receiver will use specific Signals of Opportunity (SoOP) to cover the modernized avionics standard and the future programs related to aircraft and unmanned systems avionics development, which is a new and challenging problem. Selected SoOP will be obtained from not only mature infrastructure such as actual avionics (DME, TMS, ADS-B), television, or cellular network, but also from promising aeronautical pseudolites and other communication systems such as Iridium Next. To enable such new capabilities, the first initiative will focus on proposing a novel architecture for acquiring and tracking both GNSS and selected SoOP signals with new associated metrics. These signals will be treated in a concise, synchronized and standardized avionics framework. The second axis is on advanced digital signal processing algorithms and data fusion methods to extract useful information from SoOP to maintain precise PNT in diverse conditions. Based on SoOP identification and classification algorithms from multi-band sources, novel learning methods and models will be investigated in order to integrate these signals into global avionics software architecture with extended use in different applications such as local based services. As a validation process of the proposed SDAR, the architecture/algorithms will be studied, developed, implemented, and analyzed first in simulation using real recorded RF signals from the proof-of-concept laboratory receiver. Moreover, the research work and outcomes will be tested and validated in a real environment using the developed real-time prototype. The developed universal SDAR investigated by this research will strongly improve the current GNSS receivers and increase their capabilities, while keeping low size, weight, power, and cost (SWaP-C), which results in an effective, optimal, economical and more secure solution. This program will contribute substantially to the science of GNSS and avionic/navigation receiver design, Integrity Monitoring for Safety-of-Life applications and will directly be profitable in numerous fields, such as general aviation, location-based applications and indoor localization. Unmanned systems such as Vertical Take-Off and Landing (VTOL) vehicles in urban environment will also strongly benefit from the research program outcome. This research is intended to be applicable in future avionic systems, especially with the new generation of Integrated Modular Avionics (IMA). This approach will not only ensure compatibility, but also shall improve safety and secured Communication, Navigation and Surveillance (CNS) systems.


Partners :


Show the list of publications related to this project




Next Generation SDR Avionics for Communication, Navigation and Surveillance

Researchers:

R. Jr Landry (ÉTS, Lead), J-J Laurin (École Polytechnique de Montréal), F. Nabki (ÉTS), D. Deslandes (ÉTS)

Beginning date:

1 September 2019

Project duration :

4 years

Description :

The Next Generation Software Defined Avionics Radio (SDAR) for Communication, Navigation and Surveillance (CNS) project (NextGen SDAR) is to design, develop and integrate Software Defined Avionic modules (SDAM) into a single hardware unit through a robust and optimized architecture. To do that, this project will be based on the major achievements of the previous NSERC AVIO-505 and AVIO-404 projects. In this new project, our collaboration with major avionic manufacturers (Thales, ACSS, SII Canada and Bombardier) aims to elevate and improve SDAR design and integration with readiness for a certifiable solution to the aviation market, while being compatible with modern avionic architectures such as IMA (Integrated Modular Avionics). This new design will cover modernized avionics functions such as VHF Omnidirectional Range (VOR), Instrument Landing System (ILS), Tactical Air Navigation (TACAN), Distance Measuring Equipment (DME), Automatic Dependent Surveillance – Broadcast (ADS-B) In/Out, Transponder Mode-S (TMS), Wide-Band Radio (WBR) and Radio Altimeters, as a critical system for both civilian and military. Fully integrated multimode SDAR with multi-standard RF front-end and novel multiband antenna designs will be completed in a unique integrated avionics network architecture. A large variety of tests including flight tests will be planned and scheduled all over the project for the validation. The challenge is to design the future SDAR architecture that can not only efficiently handle multiple critical functions, but also some advanced features such as signal Integrity Monitoring, authentication algorithms, degradation mitigation and fault tolerant capabilities while keeping minimum Size, Weight, Power and Cost (SWaP-C) requirements. The main outcome of the project is an innovative highly integrated solution for on-board CNS avionics systems that will eventually reduce significantly cables length and the number of components in modern aircrafts. Additionally, it could be easily adapted to cope with potential aeronautical standards changes or to be fitted to Unmanned Aerial Vehicles (UAVs).


Partners :


Show the list of publications related to this project




R-PNT Project: Resilient Positioning, Navigation & Timing

Researchers:

René Jr Landry (Lead), Hamza Benzerrouk

Beginning date:

1 September 2018

Project duration :

2 years

Description :

A new requirement during the last decade is the Positioning, Navigation and Timing (PNT) during military operation and in GNSS-denied environment. In order to improve size, weight and power (SWaP) of equipment, the department of National Defense of Canada is looking for better performance systems with the lowest possible weight, power consumption and critical operational efficiency. When GNSS signal is jammed, PNT alternative solutions are suitable feedbacks, essentially based on inertial sensors and dead reckoning algorithms, as well as the use of Signal of Opportunity (SoOP) when GPS timing and positioning is critical in operational theaters, during targeting, tactical reconnaissance and surveillance, real time tracking of soldiers, etc. A high reliable PNT solution is required to maintain the operation ability of the military forces and the synchronization with the command centers and weapons management systems.
The objective of the project is to provide a complete multi-IMU (Inertial Measurement Unit) solution on the Body-Suit (ibNav Project), a new technological solution with more advanced multisensory integration (accelerometers, gyroscopes, magnetometers, baro-altimeters, heart rate, blood pressure, etc.) and personalized algorithms. Robust data fusion (Kalman filtering based) allows the soldier trajectory to be tracked in real time with health monitoring data streaming to the commander control terminal. More than inertial sensors, pedometer algorithms, high accurate motion tracking, and reliable navigation solution is maintained by the use of SoOP in GNSS-denied environment. LEO satellite Doppler based and carrier phase based ranges are integrated to the Global-Body-Skeleton Multi IMUs data fusion to compute total PNT solution requested during critical military missions and operations.


Partners :


Documents :

Show the list of publications related to this project




ibNav Project : Indoor Body Navigation

Researchers:

René Jr Landry, Hamza Benzerrouk

Beginning date:

1 September 2018

Project duration :

2 years

Description :

The objective of this project is to provide a modular and lightweight solution for indoor body navigation with the capability of real-time fluid 3D motion capture. The proposed and developed system will have both indoor and outdoor PNT capabilities, as well as accurate limb attitude determination and robust activity recognition. Scalable sensor array and autonomous runtime IMU calibration will be used in the system to improve its performance. The challenges of this project include: 1) operation without external infrastructure; 2) indoor navigation within a 3D virtual environment; 3) portable and low cost solution; 4) high accuracy navigation over at least 1 hour; 5) navigation error of less than 30 meters from last known position, etc. The developed system will have huge potential applications such as multimedia, gaming, health care, training, etc.


Partners :


Documents :

Show the list of publications related to this project


128146



COPYRIGHT© 2023 : Powered by the System ReLAN V6.0