A methodology for signals intelligence using non-conventional techniques and software-defined radio

Teran, Marco; Aranda, Juan; Marin, Jefferson; Uchamocha, Efrain; Corzo-Ussa, Germán Darío

doi:10.1109/colcom52710.2021.9486297

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…The main objective of SIGINT is to monitor the radio spectrum to obtain basic information about a signal, such as its power and frequency, in order to identify possible threats in the area where a survey A block design implementation of our proposed SIGINT methodology was presented in a preliminary work (27). The SDR design breaks with the paradigm of prefabricated communication devices, since it contains an RF block that can be reprogrammed and/or reconfigured using a System-on-Chip (SoC) or an embedded system such as an FPGA through a program or custom software solution.…”

Section: Signals Intelligence (Sigint) Modulementioning

confidence: 99%

Preliminary Approach for UAV-Based Multi-Sensor Platforms for Reconnaissance and Surveillance applications

Amézquita-Gómez,

González-Bautista,

Teran

et al. 2023

Ing.

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Context: Unmanned Aerial Vehicles (UAVs) equipped with remote sensing platforms have become increasingly popular due to their applications in aerial surveillance, environmental control, and disaster response. However, the limited flight range and on-board energy resources of UAVs pose significant challenges to their practical deployment and operating efficiency, which has led to the exploration of energy-efficient platforms for remote sensing. Method: This paper proposes a preliminary approach for UAV multi-sensor reconnaissance and surveillance platforms (MRSS) that target low energy consumption. The approach implemented four sensor modules controlled by one multi-functional integrated edge computer for control and data collection, which can be interchanged according to battery lifetime requirements. Results: The main contribution of this work was an analysis of the energy consumption behavior of sensor modules managed by an embedded system with edge computing capabilities as the central control unit. Conclusions: The high energy consumption associated with modules such as GEOINT leads to deep discharge in excess of 20 % DOD, resulting in a maximum battery degradation of 2,4 years.

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Section: Signals Intelligence (Sigint) Modulementioning

confidence: 99%

Preliminary Approach for UAV-Based Multi-Sensor Platforms for Reconnaissance and Surveillance applications

Amézquita-Gómez,

González-Bautista,

Teran

et al. 2023

Ing.

Self Cite

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“…Por ejemplo, el desarrollo de un equipo SDR para hacer monitoreo del espectro de radiofrecuencia dirigido a equipos de IoT, que ha demostrado su aplicabilidad en el uso militar y policial para detectar nodos que pueden generar riesgos en seguridad (Cohen et al, 2019). Otros trabajos en esta área se extienden a la inteligencia de señales (SIGINT) en el campo militar, donde surgen nuevas metodologías para el análisis de señales que pueden aportar a la evolución de las comunicaciones móviles para la detección de interferencias, la detección de agujeros blancos y la radio cognitiva (Terán et al, 2021).…”

Section: Comunicaciones Militaresunclassified

La industria 4.0 y sus aplicaciones en el ámbito militar

Corzo-Ussa

Alvarez-Aros

Miranda

2022

Rev. Cient. Gen. José María Córdova

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Las innovaciones militares han jalonado históricamente el desarrollo tecnológico y la innovación de la industria. Esta investigación se enfoca en las tecnologías de la industria 4.0 y su relación con el desarrollo de aplicaciones militares en el contexto actual. Mediante una revisión de la literatura y un estudio bibliométrico con Bibliometrix, se evidencia la relación entre las dificultades multidimensionales para implementar tecnologías y la poca investigación en estos campos. Este es el caso de Latinoamérica, donde se muestran amplias brechas tecnológicas con respecto a los países más desarrollados, lo que genera una fuerte dependencia tecnológica. Así, se concluye que la investigación e innovación en la industria 4.0 y sus aplicaciones militares es una oportunidad estratégica para Latinoamérica, ya que puede impulsar el desarrollo tecnológico, económico y social en la región.

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“…However, these applications initially developed for the military industry can be used in mining, surveillance of critical infrastructure, protection, and conservation of the environment [3,4]. Artificial intelligence provides solutions for the recognition of radio frequency [5] and audio signals at a very low cost, which have been developed with different objectives, such as the detection of drones [6] or the measurement of noise pollution [3]. The study of deep learning models in environmental settings is presented as a tool for monitoring infrastructures of environmental and material value.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the above, the objective of this research is to propose a model based on artificial intelligence for the classification and identification of acoustic signals using unconventional mechanisms [5] for environmental sounds [8] of events that represent risks for ecosystems and productive facilities. Identification of sounds in cases of deforestation, armed combat, use of drones and fires are proposed.…”

Section: Introductionmentioning

confidence: 99%

Military artificial intelligence applied to sustainable development projects: sound environmental scenarios

Corzo-Ussa,

Álvarez-Aros,

Mariño

et al. 2023

DYNA

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Artificial intelligence (AI) used in intelligence, surveillance, and reconnaissance (ISR) has a high application interest in project management. This article presents a result of military research on ISR applicable to monitoring and recognition of audio signals for environmental protection and critical infrastructure. Two databases with environmental sounds were built from open access platforms for training, validation, and testing. The identification characteristics for IA are extracted from the preprocessing of the sounds, obtaining the Mel Frequency Cepstral Coefficients (MFCC). As a result, model performance for more realistic soundstages shows higher accuracy compared to training categories in identifying signal frequency and duration settings. It is concluded that the model is applicable to various environmental scenarios as a low-cost alternative technology to be applied in sustainable project management.

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A methodology for signals intelligence using non-conventional techniques and software-defined radio

Cited by 4 publications

References 10 publications

Preliminary Approach for UAV-Based Multi-Sensor Platforms for Reconnaissance and Surveillance applications

Preliminary Approach for UAV-Based Multi-Sensor Platforms for Reconnaissance and Surveillance applications

La industria 4.0 y sus aplicaciones en el ámbito militar

Military artificial intelligence applied to sustainable development projects: sound environmental scenarios

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