¡Hola!

Remotely sense vital information is an interesting alternative to conventional techniques based on contact sensors. The evolution of radar technology and the trend towards Radar System-on-Chip (RSoC) enables the proposal of cost-effective, compact radar sensors designed for diverse health monitoring, diagnostics, and Internet of Medical Things (IoMT) based healthcare. From the phase of radar echo signals it is possible to observe breath rate, cardiac rythm, blood pressure waveform (BPW) and emerging biometrics. However, the separation of the signals of interest from other interfering motion is a challenge, taking into account the diversity of signal patterns depending on subjects, health and observation conditions. In this context, an optimal processing technique has been developed for hearth rate and BPW form based on real-time Repetitive Waveform Adaptive Matched Filter (RWAMF). The good performance of the technique has been validated experimentally with a vital signal database acquired with a 120 GHz Frequency-Modulated Continuous Wave (FMCW) radar.

Research Project
* This work was supported by the Spanish Ministerio de Ciencia e Innovación (MCIN) funds including MDM-2016-0600 and project PID2020-117303GB-C21/AEI/10.13039/501100011033.

Administration/Supervision: Antoni Broquetas Ibars, Albert Aguasca Sole
Researcher: Ruochen Wu

VitalSense ; Paper, , ,

Information technology and telecommunications have rapidly permeated various domains, resulting in a significant influx of data traversing the networks between computers. Consequently, research of cyberattacks in computer systems has become crucial for many organizations. Accordingly, recent cybersecurity incidents have underscored the rapidly evolving nature of future threats and attack methods, particularly those involving computer viruses wireless injection. This project aims to study and demonstrate the feasibility of remote computer virus radiation injection. To achieve this objective, digital signal processing (DSP) plays a vital role. By studying the principles and models of radiation attacks and computer virus propagation, the modulation of the binary data stream of the simulated virus into a THz radar carrier signal by Phase-Shift Keying (PSK) is simulated, enabling the implementation of an attack through the "field to line" coupling of electromagnetic signals. Finally, the defense and countermeasures based on signal recognition are discussed for such attacks. Additionally, an idea of establishing a virus library for cyberattack signals and employing artificial intelligence (AI) algorithms for automated intrusion detection is proposed as a means to achieve cybersecurity situation awareness.

Individual Project

CyberSig ; arXiv ,

Continuous observation of the Earth, as it would be possible with a geosynchronous SAR (GEOSAR), exhibits a huge potential in many scientific domains. A paradigmatic case is the water cycle over agricultural areas, in which surface soil moisture changes rapidly within hours, showing a clear daily cycle, and days, following a drying trend until new irrigation is applied or there is a rain event. Simultaneously, plants also affect the water cycle, both with a daily cycle and with a varying impact along the growth season. The separation of these processes and its application to estimate bio- and geophysical variables could be carried out by exploiting GEOSAR data. Therefore, the first overall objective of this project is to demonstrate how, from data obtained by radar systems with Earth continuous observation capacity, new techniques can be developed that allow the retrieval of surface soil moisture and vegetation parameters in scenes with vegetation. To achieve this, a complete set of radar data are currently being obtained in a measurement campaign (HydroSoil), funded by ESA, acquired in an agricultural field under controlled conditions, using a ground based fully polarimetric SAR instrument (GB-PolSAR) with a temporal resolution of 10 minutes, able to simulate a continuous Earth observation SAR system. Apart from the future contribution of GEOSAR systems, many EO applications that can be improved notably by combining time series of radar data (acquired by current satellites) from different sources: different satellites (frequency bands and spatial resolutions) or acquired under different configurations (incidence angles and ascending/descending orbits), or in different modes (interferometric and polarimetric). This alternative does not provide a strict continuous observation, like a GEOSAR does, but increases the refresh rate of information and enlarges the observation space by complementary data along the data four diversity axes: time, frequency, polarisation, and phase (interferometry). This second strategy will be addressed by exploiting numerous sets of satellite data already available, with associated reference data. Special emphasis will be placed on Sentinel-1, due to its open access policy and 6-day revisit time, and PAZ, the Spanish radar satellite, which shows an evident interest for the Spanish government and industry. Methods, algorithms, and software developed in previous projects will serve as starting points to develop new and improved retrieval techniques based on this type of multi-source radar data. The project team is composed of groups from the Universitat Poliècnica de Catalunya (UPC) and University of Alicante (UA), with known experience in systems, techniques, and applications of SAR, which have successfully collaborated in previous projects. The coordination between both teams allows to define the following objectives for the project: 1) New knowledge in the sensitivity of GEOSAR data to physical variables of soil and vegetation. 2) New retrieval algorithms for GEOSAR data to estimate physical variables of soil and vegetation. 3) Contribution to the definition of technical aspects of GEOSAR systems. 4) New fusion techniques and improved products based on SAR data from multiple LEOSAR sensors. 5) Increased transfer of Earth Observation results and technology to the scientific community, the industry, and the society.

Competitive Project (ESP) - AEI
* This research is funded by the PID2020-117303GB-C21 project, granted by the AEI.

Scientific coordinator: Francisco Javier Fabregas Canovas, Alberto Aguasca Sole
Researcher ^*: Jordi Joan Mallorqui Franquet, Antoni Broquetas Ibars, Tieyan Yi, Jorge Nicolas Alvarez, Ruochen Wu, Mireia Mas i Mendez, Jinglong Liu, Xavier Carreño Megias (Work team)
* Listed in no particular order.

RECOSYP;

This paper presents a new approach to measuring eyelid movement using millimeter wave (mmW) radar technology. A two-step method is proposed, involving the observation of a small resolution cell corresponding to the monitored eye and the evaluation of the phase evolution over the measurement period. Simulations are conducted to support radar system optimization and data interpretation with a focus on detecting eyelid movement patterns and compensating for interference from other parts of the body. The feasibility of using this method with eyeglasses is also explored. The proposed technique’s advantages and limitations are discussed in comparison with existing measurement alternatives. The characteristics of eyelid dynamics, including blink frequency, regularity, duration, and velocity can be used to assess neurological conditions and driver drowsiness.

Research Project - CommSensLab, UPC; Dept. of Electrical Engineering and Information Technology (ETIT), Karlsruhe Institute of Technology (KIT)

Administration/Supervision: Antoni Broquetas Ibars, Albert Aguasca Sole
Researcher: Dominik Patscheider, Ruochen Wu, Jordi Romeu Robert

VitalSense ; Sensors

EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union, aims to accelerate solutions and the transition towards a user-centric, integrated and truly multimodal transport system.

Competitive Project (EU) - EIT Urban Mobility
* This research was funded by the EIT-UM-2022-22265-RideSafeUM project, granted by the EIT.

Scientific coordinator: Elisa Sayrol Clols, Josep Ramon Morros Rubió
Researcher: Josep Ramon Morros Rubió, Antoni Broquetas Ibars, Ruochen Wu

RideSafeUM ; ,

Synthetic Aperture Radar (SAR) is an active type of microwave remote sensing. Using the microwave imaging system, remote sensing monitoring of the land and global ocean can be performed in any weather conditions around the clock. Target detection of the SAR image is one of the main needs of radar image interpretation applications. Therefore, it is of great practical importance and valuable to use satellite-provided radar image data to study target detection. In this project, the author applied a method combining CFAR and morphological operation for the task of ship detection and recognition of SAR images, and proposed an improved two-parameter CFAR algorithm based on Rayleigh distribution to solve the problem of ship echo signal position and image background noise interference. The probability density functions of sea clutter and a little amount of noise usually tend to be Rayleigh distribution, but there is still some clutter with obvious non-Rayleigh, which includes scale and shape parameters.

TFM - Master's Degree Final Project, UPV

Supervisor: Luis Ángel Ruiz Fernández
Author: Ruochen Wu

TFM 2020 ; TFM, Preprints ,

Bi-temporal orthophotos of the YRCTI in 2010 and 2020 have been modeled using photogrammetry technology, where the data in 2010 is the UAV images, and 2020, is the latest remote sensing images of Google Earth. The two models were made comparisons in Blender to complete the rendering. The project mainly includes four parts: data acquisition, photogrammetric data processing and modeling, 3D visualization construction, and final rendering.

Subject Project - Geovisualisation and 3D Modelling, UPV

Tutor: Jesús Manuel Palomar Vázquez
Author: Ruochen Wu

GM3D ;

This project combines three-dimensional (3D) modeling and programming knowledge to enable virtual reality (VR), augmented reality (AR) and related technologies. Its purpose is to combine the modeled 3D model with the OpenSpace3D editor to realise intelligent interaction, allowing the user to perform corresponding operations on the model based on VR technology.

Subject Project - Geovisualisation and 3D Modelling, UPV

Tutor: Jesús Manuel Palomar Vázquez
Author: Ruochen Wu

GM3D ; , ,

Using eCognition Developer to extract remote sensing information based on target information, the fuzzy classification algorithm of Decision-making Support System (DSS) is used for the object-oriented classification of a high-resolution image and a Digital Surface Model (DSM). The experimental data used in the project is provided by the Resource Library of this course.

Subject Project - Remote Sensing and Geodatabase Updating, UPV

Tutor: Jorge Abel Recio Recio
Member: Jimena Laura García Le Pera ^†, Ruochen Wu ^†
† These members contributed equally to this work.

TeleAct;

This project aims to maintain and update the cultural heritage database of Valencia City Hall. We collected data on the bust sculpture in the Jardines de Monforte, and performed photogrammetry reverse modeling to generate a high-precision 3D model and a 3D printed model, which has been retained by Valencia City Hall.

Local Project - Architectural Heritage Documentation Techniques, UPV; Oficina Tècnica de Restauració i Manteniment de Monuments, Ajuntament de València
* This work was supported by Ajuntament de València under grant E-02001-2019-000699.

Tutor: José Luis Lerma García
Member: Jimena Laura García Le Pera, Ruochen Wu

TDPA; , , ,

A script suitable for mobile applications, which allows users to query the server for open-source data released by the Valencia City Hall in Spain to locate the point where electric vehicles are charged in the corresponding area of the public parking lot.

Subject Project - Geospatial Applications for Mobile Devices, UPV

Tutor: Ángel Marqués Mateu
Member: Ruochen Wu ^*, Jimena Laura García Le Pera
* Principal

AGDM ; ,

In 2004, the project "Plan Nacional de Teledetección" led by IGN was launched, the main objective of which is to acquire satellite images of the Spanish territory to promote the application of its derivative products. This project aims to mine and process GEOINT data through AI (ML) algorithms such as Decision Tree and Artifical Neural Network (ANN), and update the Geodatabase of land use through the analysis of high-resolution remote sensing images and auxiliary information.

Subject Project - Remote Sensing and Geodatabase Updating, UPV

Tutor: Luis Ángel Ruiz Fernández, Jorge Abel Recio Recio
Member: Jimena Laura García Le Pera ^†, Ruochen Wu ^†
† These members contributed equally to this work.

TeleAct; ,

The project is developed through a virtual machine equipped with a Linux system, and users on the published spatial data portal are allowed to log in, query and modify related data. This project aims to apply related skills developed on the back-end and front-end to GEOINT processing.

Subject Project - Web Development and Geoportals, UPV

Tutor: Joaquín Gaspar Mora Navarro
Member: Ruochen Wu ^*, Clément Dujardin, Antoine Ducasse
* Principal

DWebG ;

This project researches and simulates the framework principle of PostgreSQL spatial intelligence (GEOINT) database injection attack, and embeds a parameterized query module in the Web program code to defend against SQL injection behavior. Through the studys, a deeper understanding of the field of spatial information security is formed.

Subject Project - Distribution of Spatial Information, UPV

Tutor: Peregrina Eloína Coll Aliaga
Author: Ruochen Wu

DSI ;

In this project, the bi-temporal satellite images of Beijing Daxing International Airport and surrounding areas obtained by Sentinel-2A in 2015 and 2019 were selected respectively, and the image features were identified based on the principle of spectral feature differences between different temporal images in the same area. The changes in the type, location and quantity of land-use regional changes were obtained by quantifying the coupling characteristics of multi-temporal remote sensing images in the spatial, temporal and spectral domains. Dynamic monitoring was carried out using the methods of direct image comparison, principal component analysis, and post-classification comparison, respectively. The classification and monitoring results met the project expectations.

Subject Project - Remote Sensing and Photogrammetry Techniques, UPV

Tutor: Luis Ángel Ruiz Fernández
Author: Ruochen Wu

F&RS;

The project aims to compile the terrain variable values into a digital map to be stored on the missile-borne computer, and then register the missile's real-time ground scene image with the pre-stored digital map to determine the missile's position relative to the target. Wu is mainly involved in studying digital photogrammetry principles, missile orientation measurement, remote sensing image features, and 2D/3D target image recognition methods.

Defense Project - Digital Photogrammetry, YRCTI; 96XXX Unit, PLA Rocket Force
* This work was supported by the Chinese PLA Rocket Force.

Professor: Dan Zhang
Role: Intern (Participate in studying)

DP 2016