Target Detection and Localization Methods Using Compartmental Model for Internet of Things

2020 ◽  
Vol 19 (9) ◽  
pp. 2234-2249
Author(s):  
Sudhir Kumar ◽  
Sajal K. Das
Keyword(s):  
Internet Of Things ◽  
Target Detection ◽  
Compartmental Model ◽  
Detection And Localization

Through Wall Stationary Human Target Detection and Localization Using OFDM-UWB Radar

Frequenz ◽  
2016 ◽  
Vol 70 (5-6) ◽  
Author(s):  
Zohra Slimane ◽  
Abdelmalek Abdelhafid
Keyword(s):  
Target Detection ◽  
Wide Band ◽  
Human Being ◽  
Concrete Wall ◽  
Uwb Radar ◽  
Spectrum Density ◽  
Background Clutter ◽  
Detection And Localization ◽  
Minimum System ◽  
System Operating

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.

Visual Search: Detection, Identification, and Localization

Perception ◽  
1992 ◽  
Vol 21 (6) ◽  
pp. 765-777 ◽  
Author(s):  
Marc Green
Keyword(s):  
Visual Search ◽  
Target Detection ◽  
Detection And Identification ◽  
Display Performance ◽  
The Right ◽  
Detection And Localization

In two studies, observers searched for a single oblique target in a field of vertical distractors. In one experiment, target detection and identification (left versus right tilt) were compared. In another experiment, detection and localization were compared for the left versus the right half of the display. Performance on all three tasks was virtually identical: if a target could be detected, it could also be identified and localized. A review of previous studies generally supports the conclusion that performance on the three tasks is similar. This argues against current search theories, which rest heavily on data showing differences in identification and localization.

Multiview infrared target detection and localization

2019 ◽  
Vol 58 (11) ◽  
pp. 1
Author(s):  
Zimu Yang ◽  
Junzheng Wang ◽  
Jing Li ◽  
Min Yan
Keyword(s):  
Target Detection ◽  
Detection And Localization
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