Radar sensor signal acquisition and 3D FFT processing for smart mobility surveillance systems

Abstract

The paper presents the design and test of a compact multi-channel platform for acquisition and real-time processing of Radar sensor signals. The sensing system includes a multi-channel X-band transceiver, implementing a linear frequency-modulated continuous wave scheme, plus an FPGA processor implementing sensor signal processing chain. The latter includes ROI (Region of Interest Selection), 3D FFT, peak detection, alarm decision logic, data calibration and diagnostic. The FPGA also manages data communication with external hosts. The Radar sensing system allows detecting moving and still targets with covered range of 300 m and a resolution better than 40 cm. The sensor is suited for operations in urban scenarios like surveillance of railroad crossing and road crossing, monitoring of cars parking, with increased robustness vs. LIDAR, camera or ultrasounds techniques. The sensor has a low power consumption and low weight, and hence can be mounted on-board vehicles such as cars or UAVs for aerial surveillance of smart cities

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

“…As such, they can operate in three spacial dimensions (i.e., get close to objects even if these are at a distance from the ground, assume elevated positions above locations or objects of interest and chose their position on the basis of it being sustainable and not affecting other participants of smart city operations), are not restricted by congested networks on the ground and can autonomously adapt their exact location and the settings of their sensors to deliver the best possible service. Platform mounted sensors can contribute to public safety in the areas of imagery [65,74,75], monitoring [34,40,53,69,74,[76][77][78][79][80][81][82][83][84][85][86][87][88] and surveillance [34,40,46,48,53,78,82,87,[89][90][91]].…”

“…As already mentioned, UAVs serving as mobile sensing platforms can perform a wide variety of sensing tasks, essentially limited only by the sensors that can be mounted to the platform. As such, the use of UAVs for a broad range of surveillance tasks has been suggested in the literature [40,48,82,87,[89][90][91], covering the areas of urban surveillance [46], aerial surveillance [53], border surveillance [34] and tracking and surveillance tasks in general [78]. Furthermore, there is significant literature on the use of UAVs for monitoring purposes [34,40,74,[80][81][82]86,98] which can be as diverse as the monitoring of infrastructure [88], specifically pipelines [76] but also of personal [69] and, in case of disasters, victims [83].…”

“…As such, the use of UAVs for a broad range of surveillance tasks has been suggested in the literature [40,48,82,87,[89][90][91], covering the areas of urban surveillance [46], aerial surveillance [53], border surveillance [34] and tracking and surveillance tasks in general [78]. Furthermore, there is significant literature on the use of UAVs for monitoring purposes [34,40,74,[80][81][82]86,98] which can be as diverse as the monitoring of infrastructure [88], specifically pipelines [76] but also of personal [69] and, in case of disasters, victims [83]. Traffic can be monitored [53,68,78] (e.g., counting cars [85] for traffic management [40] and traffic control systems [84]), as can be the environment [40,77,79,87] (e.g., the mapping of vegetation [68]), entire ecosystems [68] and the weather [40] (specifically in the context of atmospheric forecast [79]).…”

Sparsity-Driven Moving Target Detection in Distributed Multistatic FMCW Radars

“…The low power continuously emitted by FMCW radars makes them more suited for short range applications [22], such as the automotive world [23,24,25]. However, established dictionaries for FMCW multistatic radars only considered delay estimation in RXs; In other words, only the target localization is considered without velocity estimation [16].…”

Design and Implementation of FMCW Surveillance Radar Based on Dual Chirps

“…In earlier work [10]- [12], FMCW radar algorithms with multiple channels for surveillance were designed and implemented. In one study [10], the authors investigated the implementation of 24 GHz FMCW radar for surveillance and detected the range, velocity and angle of targets.…”