Radar systems have been paid a lot of attention since the end of the WWII. Along with performances improvement one has witnessed a diversification of their applications, which range from target detection and parameter measuring to navigation system, anticollision systems and subsurface sensing. The last application has had a great importance for humanitarian demining purposes taken into account the number of landmines spread across the world and the danger they pose to humans. Both. continuous wave and pulse radar have been employed for landmine detection.This paper deals with a stepped frequency continuous wave (SFCW) radar that operates from 400 MHz to 4845 MHz, in steps of 35 MHE. The novelty of the system, built at International Research Center for Telecommunicationtransmission and Radar (IRCTR), consists in the fact that 8 frequencies are transmitted simultaneously, which drastically decreases the data acquisition time.Because of the strong reflection from the air-ground interface one may face some difficulties to "see" the landmines, which are lying on, or just below of the surface. If the antenna system footprint is much more larger than the size of the mine, this is even more difficult as the signal from the mine will be buried into clutter signal. In order to remove the clutter signal and to improve signal to clutter ratio, average clutter subtraction and synthetic aperture radar have been investigated.

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This presentation provides a description of the challenges of wearable optical and acoustic vital sign sensors integrated in work equipment. It will propose a solution to the artifact and wearability problems by (1) using a combination of sensing techniques (2) placing the sensors at various key locations on the body and(3) applying data fusion algorithms that adapt to varying levels of noise.

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The commercial drone market has substantially grown over the past few years. While providing numerous advantages in various fields and applications, drones also provide ample opportunities for misuse by irresponsible hobbyists or malevolent actors. The increasing number of safety/security incidents in which drones are involved has motivated researchers to find new and ingenious ways to detect, locate and counter this type of vehicles. In this paper, we propose a new method to detect frequency hopping spread spectrum-Gaussian frequency-shift keying (FHSS-GFSK) drone communication signals, in a non-cooperative scenario, where no prior information about the signals of interest is available. The system is designed to detect and retrieve data bit sequences through a compressive sampling approach, which includes the extraction of the reduced spectral information and a soft detection algorithm. The performance of the proposed approach is assessed in terms of bit error rate and compared with that of a Viterbi detector and a neural network-based detector. The effectiveness of the method described in the paper highlights the fact that current UAV communications are not infallible and present real security issues. INDEX TERMS Counter-drone measures, FHSS-GFSK communication signals, non-cooperative data detection, compressive sampling, security of UAV communications.