scholarly journals Target detection probability of a moving drone in a land-based stationary background radar

2020 ◽  
Vol 1488 ◽  
pp. 012007
Author(s):  
A S Anikin ◽  
A V Khristenko ◽  
A V Ochirtarov
Keyword(s):  
Target Detection ◽  
Detection Probability ◽  
Stationary Background

ASSESSMENT OF TARGET DETECTION ABILITY FOR LASER FUZES IN FOG CONDITIONS

2021 ◽  
pp. 8-16
Author(s):  
Linh
Keyword(s):  
Target Detection ◽  
Detection Probability ◽  
Detection Efficiency ◽  
Signal To Noise Ratio ◽  
Evaluation Model ◽  
Laser System ◽  
Weather Conditions ◽  
Signal To Noise ◽  
Detection Ability ◽  
Bad Weather

The article presents a method to evaluate the target detection efficiency of laser fuzes operating in foggy conditions. The evaluation model is built from: the distance equation of the laser system, the attenuation of the beam in two-way propagation, the disturbances affecting the system; the signal to noise ratio SRN has determined the detection probability of the receiver. The model was used to evaluate with wavelengths: 850 nm, 1000 nm and 1550 nm, when propagating in three different bad weather conditions. The results show that the most effective detection of the target when using a wavelength of 1550 nm in visibility in haze and mist conditions (visibility V > 500 m). In fog conditions (visibility V < 500 m), the above three wavelengths provide the same detection efficiency. The article provides the method and instructions for choosing the wavelength of the laser fuze.

Analysis of target detection probability in sequence image

2000 ◽  
Author(s):  
Haochen Liang ◽  
GuoQiang Ni ◽  
Zhenfu Zhu ◽  
Genxing Xu ◽  
Bo Song ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection Probability

Research on target detection probability model based on headwear eye tracker

2021 ◽  
Author(s):  
Hu He ◽  
Fang Zhang ◽  
Longlong Chen ◽  
Mingming Liu ◽  
Jingjun Yuan ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection Probability ◽  
Probability Model ◽  
Eye Tracker ◽  
Model Based

A New Method to Deploy and Control the Distributed Jamming against Phased-Array Radar

2013 ◽  
Vol 416-417 ◽  
pp. 817-821
Author(s):  
Xin Yu Wang ◽  
Jun He ◽  
Zhen Biao Hu ◽  
Kai Wang
Keyword(s):  
Target Detection ◽  
Detection Probability ◽  
Phased Array ◽  
New Method ◽  
Effective Control ◽  
Phased Array Radar ◽  
And Control

Reasonable deployment and effective control can help the distributed jammers to function better. According to the counter-jamming theory of PAR, a new method is presented to deploy the distributed jammers which can provide the azimuth and distance of each jammer to enhance its jamming effects. After the jammers are located, computers are adopted to control the distributed jammers which should be turned on/off properly for suitable duration. The target detection probability under jamming condition is selected to evaluate the jamming effects, and the experiment results show that this method has steady jamming effects against PAR.

Operational Capability of Ship-to-Air Missile Weapon System

2014 ◽  
Vol 981 ◽  
pp. 713-716
Author(s):  
Yong Hong Lu ◽  
Ji Hua Dou ◽  
Xing Bao Yang ◽  
Chuan Wei Zhu
Keyword(s):  
Target Detection ◽  
Early Warning ◽  
Detection Probability ◽  
Evaluation Method ◽  
Weapon System ◽  
Operational Capability ◽  
Single Target ◽  
Impact Indicators ◽  
Capability Evaluation ◽  
The Impact

As operational capability of the weapon system can be varied with each fire, it proposes operational capability evaluation method for the weapon system, afterwards it proposes operational capability evaluation method for the weapon fire taking the impact indicators such as single target detection probability of shipborne early-warning radar into account.

scholarly journals VISUAL DETECTION OF STATIC OBJECTS AMONG DYNAMIC DISTRACTORS

2016 ◽  
Vol 9 (1) ◽  
pp. 101
Author(s):  
Mirjana Pantić ◽  
Sunčica Zdravković
Keyword(s):  
Target Detection ◽  
Visual Detection ◽  
Dynamic Properties ◽  
Dynamic Object ◽  
Illumination Change ◽  
Luminance Change ◽  
Stationary Target ◽  
Set Size ◽  
Dynamic Target ◽  
Stationary Background

Though a dynamic object, placed against stationary background, always grabs attention, opposite is not necessarily true. Hence, in this study we placed a stationary target among the dynamic distractors. We investigated whether visual detection depends on (1) set size (9, 18 or 27), (2) type of the distractor dynamics (jitter, blink, or luminance change) and (3) synchronisation (synchronized or unsynchronized distractors change). In contrast to pop-out effect of a dynamic target, the search for stationary target was serial, as the RT analysis revealed. The synchronisation of the distractor dynamic properties helped the detection especially in the larger sets. The most distracting for the target detection was illumination change of the distractors whereas the least distracting was blink.

scholarly journals Prediction of Target Detection Probability Based on Air-to-Air Long-Range Scenarios in Anomalous Atmospheric Environments

2021 ◽  
Vol 13 (19) ◽  
pp. 3943
Author(s):  
Tae-Heung Lim ◽  
Hosung Choo
Keyword(s):  
Long Range ◽  
Target Detection ◽  
Cross Section ◽  
Detection Probability ◽  
Path Loss ◽  
Atmospheric Environment ◽  
Airborne Radar ◽  
Prediction System ◽  
Range Equation ◽  
Rainfall Attenuation

We investigate a target detection probability (TDP) using path loss of an airborne radar based on air-to-air scenarios in anomalous atmospheric and weather environments. In the process of calculating the TDP, it is necessary to obtain the overall path loss including the anomalous atmospheric environment, gas attenuation, rainfall attenuation, and beam scanning loss. The path loss including the quad-linear refractivity model and other radar input parameters is simulated using the Advanced Refractive Effects Prediction System (AREPS) software along the range and the altitude. For the gas and rainfall attenuations, ITU-R models are used to consider the weather environment. In addition, the radar beam scan loss and a radar cross section (RCS) of the target are considered to estimate the TDP of the airborne long-range radar. The TDP performance is examined by employing the threshold evaluations of the total path loss derived from the detectability factor and the free-space radar range equation. Finally, the TDPs are obtained by assuming various air-to-air scenarios for the airborne radar in anomalous atmospheric and weather environments.

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