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.

Weak Transient Electromagnetic Radiation Signal Detection Method Considering the New Watershed Image Segmentation Algorithm

2019 ◽  
Vol 34 (03) ◽  
pp. 2054009
Author(s):  
Wenjun Huo ◽  
Peng Chu ◽  
Kai Wang ◽  
Liangting Fu ◽  
Zhigang Niu ◽  
...  
Keyword(s):  
Electromagnetic Radiation ◽  
Cross Correlation ◽  
Detection Efficiency ◽  
Signal To Noise Ratio ◽  
Estimation Method ◽  
Detection Methods ◽  
Signal To Noise ◽  
Long Distance ◽  
Transient Electromagnetic ◽  
Noise Ratio

In order to study the detection methods of weak transient electromagnetic radiation signals, a detection algorithm integrating generalized cross-correlation and chaotic sequence prediction is proposed in this paper. Based on the dual-antenna test and cross-correlation information estimation method, the detection of aperiodic weak discharge signals under low signal-to-noise ratio is transformed into the estimation of periodic delay parameters, and the noise is reduced at the same time. The feasibility of this method is verified by simulation and experimental analysis. The results show that under the condition of low signal-to-noise ratio, the integrated method can effectively suppress the influence of 10 noise disturbances. It has a high detection probability for weak transient electromagnetic radiation signals, and needs fewer pulse accumulation times, which improves the detection efficiency and is more suitable for long-distance detection of weak electromagnetic radiation sources.

Detection and analysis of the signal-to-noise ratio in the injection laser system of the Shenguang-II facility

2018 ◽  
Vol 57 (34) ◽  
pp. 9898
Author(s):  
Gang Xia ◽  
Wei Fan ◽  
Xiaochao Wang ◽  
Jiangfeng Wang ◽  
Dajie Huang ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Laser System ◽  
Injection Laser ◽  
Signal To Noise ◽  
Noise Ratio

EFFECT OF PERIODICALLY MODULATED NOISE ON STOCHASTIC RESONANCE IN LASER SYSTEM

2013 ◽  
Vol 27 (19) ◽  
pp. 1350101 ◽  
Author(s):  
LI ZHANG ◽  
XIU-HUA YUAN
Keyword(s):  
Stochastic Resonance ◽  
Signal To Noise Ratio ◽  
Laser System ◽  
Single Mode ◽  
Signal To Noise ◽  
Mode Laser ◽  
Single Mode Laser ◽  
Laser Model ◽  
Signal Period ◽  
Output Snr

The output power and the signal-to-noise ratio (SNR) of a single-mode laser system are calculated in the case of the laser model with periodically modulated noise. The corresponding stochastic resonance (SR) phenomena are discussed and compared with the case without periodically modulated noise. It is shown that the main difference between the two noise laser models exists in the SNR as a function of signal period. There appears resonance and suppression coexisting phenomenon for the model with periodically modulated noise, which can be utilized to restrain or optimize the output SNR of the system. Whereas, SR is absent for the model without periodically modulated noise, and the SNR just increases monotonously with signal period.

scholarly journals On the application of frequency tagging

2020 ◽  
Author(s):  
Zoltan Derzsi
Keyword(s):  
Phase Noise ◽  
Detection Probability ◽  
Signal To Noise Ratio ◽  
Lower Probability ◽  
Weak Signal ◽  
Signal To Noise ◽  
Noise Component ◽  
Spectral Evaluation ◽  
Human Electrophysiology ◽  
Additional Phase

To detect a weak signal in human electrophysiology that is a response of a periodic external stimulus, spectral evaluation is mostly used. The recorded signal’s amplitude and phase noise components of the signal are statistically independent from each other, but both of them are decreasing the signal-to-noise ratio, which results in a lower probability of successful signal detection. Provided that the phase information of the stimuli is preserved, we found that a way to reject an additional phase noise component, which improves the detection probability considerably, by analysing the signal’s phase coherency instead of its spectrum.

An Effective Spectrum Sensing Method Based on Maximum Eigenvector

2014 ◽  
Vol 556-562 ◽  
pp. 4522-4525
Author(s):  
Rui Yan Du ◽  
Fu Lai Liu ◽  
Ya Ping Wu
Keyword(s):  
Spectrum Sensing ◽  
Detection Probability ◽  
Fundamental Problem ◽  
Signal To Noise Ratio ◽  
Power Method ◽  
Smoothing Technique ◽  
Signal To Noise ◽  
Radio System ◽  
Temporal Smoothing ◽  
Spectrum Holes

Spectrum sensing is a fundamental problem for cognitive radio system as it allows secondary user (SU) to find spectrum holes for opportunistic reuse. This paper presents a new spectrum sensing method based on the data stacking technique (temporal smoothing technique) and power method. The “maximum eigenvector” is used to detect the spectrum holes. Compared with the previous works, the proposed approach can provide better performance, such as higher detection probability in the lower signal-to-noise-ratio (SNR) scenario, etc.

scholarly journals Using the NoiSee workflow to measure signal-to-noise ratios of confocal microscopes

2018 ◽  
Author(s):  
Alexia Ferrand ◽  
Kai D. Schleicher ◽  
Nikolaus Ehrenfeuchter ◽  
Wolf Heusermann ◽  
Oliver Biehlmaier
Keyword(s):  
High Performance ◽  
Detection Efficiency ◽  
Signal To Noise Ratio ◽  
Daily Basis ◽  
Confocal Imaging ◽  
Major Influence ◽  
Light Path ◽  
Signal To Noise ◽  
Science Labs ◽  
Emission Light

AbstractConfocal microscopy is used today on a daily basis in life science labs. This “routine” technique contributes to the progress of scientific projects across many fields by revealing structural details and molecular localization, but researchers need to be aware that detection efficiency and emission light path performance is of major influence in the confocal image quality. By design, a large portion of the signal is discarded in confocal imaging, leading to a decreased signal-to-noise ratio (SNR) which in turn limits resolution. A well-aligned system and high performance detectors are needed in order to generate an image of best quality. However, a convenient method to address system status and performance on the emission side is still lacking. Here, we present a complete method to assess microscope and emission light path performance in terms of SNR, with a comprehensive protocol alongside NoiSee, an easy-to-use macro for Fiji (available via the corresponding update site). We used this method to compare several confocal systems in our facility on biological samples under typical imaging conditions. Our method reveals differences in microscope performance and highlights the various detector types used (multialkali photomultiplier tube (PMT), gallium arsenide phosphide (GaAsP) PMT, and Hybrid detector). Altogether, our method will provide useful information to research groups and facilities to diagnose their confocal microscopes.

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