Remote ballistic emplacement of an electro-optical and acoustic target detection and localization system

2015 ◽  
Author(s):  
Aaron West ◽  
Mark Mellini
Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5391
Author(s):  
Fan Yin ◽  
Chao Li ◽  
Haibin Wang ◽  
Fan Yang

Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the proposed approach can provide a higher reliability compared with the conventional ones, and is suitable for the constraints of real-time tracking.


Frequenz ◽  
2016 ◽  
Vol 70 (5-6) ◽  
Author(s):  
Zohra Slimane ◽  
Abdelmalek Abdelhafid

AbstractThis paper focuses on through wall stationary human target detection and localization using an OFDM based Ultra-Wide Band radar (OFDM-UWB). Our investigations relate to a monostatic UWB radar operating in the band [1.99–3] GHz at central frequency 2.5 GHz and emitting a power of –22 dBm, meeting FCC UWB spectrum density requirements. The detection of a human being is possible due to respiratory movements of the chest. Using the short-term Fourier transform, along with the optimal filtering and an averaging technique for background clutter suppression, interesting information could be extracted from the recorded waveforms about the presence and position of a human being behind a 20-cm-thick concrete wall. The results of the experimental simulations under Matlab/simulink are then presented. A maximum range of 4 m was found to be possible with a minimum system operating SNR of 5 dB.


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