A high detection probability method for Gm-APD photon counting laser radar

2013 ◽  
Author(s):  
Zi-jing Zhang ◽  
Yuan Zhao ◽  
Yong Zhang ◽  
Long Wu ◽  
Jian-zhong Su
Keyword(s):  
Detection Probability ◽  
Photon Counting ◽  
Laser Radar ◽  
Probability Method ◽  
High Detection

High-detection probability broadband single-photon counting receivers

2009 ◽  
Author(s):  
Leye Aina ◽  
Ayub Fathimulla ◽  
Harry Hier ◽  
Mark Lecates ◽  
Sachi Babu ◽  
...  
Keyword(s):  
Detection Probability ◽  
Single Photon ◽  
Photon Counting ◽  
Single Photon Counting ◽  
High Detection

Non-Geiger-mode single-photon counting APDs with high detection probability and afterpulse-free performance

2007 ◽  
Author(s):  
Leye Aina ◽  
Ayub Fathimulla ◽  
Harry Hier ◽  
Mark Lecates ◽  
Parth Patel ◽  
...  
Keyword(s):  
Detection Probability ◽  
Single Photon ◽  
Photon Counting ◽  
Single Photon Counting ◽  
High Detection ◽  
Geiger Mode

scholarly journals Detection Probability Analysis of True Random Coding Photon Counting Lidar

Photonics ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 545
Author(s):  
Yang Yu ◽  
Zhangjun Wang ◽  
Kuntai Ma ◽  
Chao Chen ◽  
Xiufen Wang ◽  
...  
Keyword(s):  
Theoretical Model ◽  
Detection Probability ◽  
Effective Means ◽  
Photon Number ◽  
Photon Counting ◽  
Sequence Length ◽  
Random Coding ◽  
Working Principle ◽  
The Impact ◽  
First Time

With the wide application of lidar in the future, the problem of crosstalk between lidars will become more serious. True random coding photon counting lidar with high anti-crosstalk ability will play an important role in solving this problem. In this paper, based on the working principle of Gm-APD, the detection probability theoretical model of true random coding photon counting lidar is built, and the impact of jitter on detection probability is considered for the first time. The influence of mean echo photon number, mean pulse count density, sequence length and pulse width on detection probability is analyzed. Monte Carlo simulation and experimental results are highly consistent with the theoretical model, which proves the correctness of the detection probability theoretical model. This theoretical model provides an effective means to evaluate the system performance.

scholarly journals A Novel Structure for a Multi-Bernoulli Filter without a Cardinality Bias

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1484
Author(s):  
Weijian Si ◽  
Hongfan Zhu ◽  
Zhiyu Qu
Keyword(s):  
Detection Probability ◽  
Posterior Probability ◽  
Density Approximation ◽  
Signal To Noise ◽  
Generating Functional ◽  
Significant Bias ◽  
Novel Structure ◽  
High Detection ◽  
Multi Target Tracking ◽  
Bernoulli Filter

The original multi-target multi-Bernoulli (MeMBer) filter for multi-target tracking (MTT) is shown analytically to have a significant bias in its cardinality estimation. A novel cardinality balance multi-Bernoulli (CBMeMBer) filter reduces the cardinality bias by calculating the exact cardinality of the posterior probability generating functional (PGFl) without the second assumption of the original MeMBer filter. However, the CBMeMBer filter can only have a good performance under a high detection probability, and retains the first assumption of the MeMBer filter, which requires measurements that are well separated in the surveillance region. An improved MeMBer filter proposed by Baser et al. alleviates the cardinality bias by modifying the legacy tracks. Although the cardinality is balanced, the improved algorithm employs a low clutter density approximation. In this paper, we propose a novel structure for a multi-Bernoulli filter without a cardinality bias, termed as a novel multi-Bernoulli (N-MB) filter. We remove the approximations employed in the original MeMBer filter, and consequently, the N-MB filter performs well in a high clutter intensity and low signal-to-noise environment. Numerical simulations highlight the improved tracking performance of the proposed filter.

scholarly journals Hierarchy Graph Based Barrier Coverage Strategy with a Minimum Number of Sensors for Underwater Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2546 ◽  
Author(s):  
Juan Chang ◽  
Xiaohong Shen ◽  
Weigang Bai ◽  
Ruiqin Zhao ◽  
Bin Zhang
Keyword(s):  
Sensor Networks ◽  
Detection Probability ◽  
Barrier Coverage ◽  
Underwater Sensor Networks ◽  
Simulation Studies ◽  
Concept Hierarchy ◽  
High Detection ◽  
Minimum Number ◽  
Long Lifetime ◽  
Novel Concept

Underwater sensor networks ( UWSNs ) based barrier coverage is increasingly important for intrusion detection due to the scarcity of underwater sensor resource. To improve UWSNs’ detection performance and prolong their lifetime, an efficient barrier coverage strategy is very important. In this paper, a novel concept: hierarchy graph is proposed. Hierarchy graph can make the network’s topology more clarity. In accordance with the hierarchy graph, 1-barrier coverage algorithm and k-barrier coverage algorithm are presented to construct the barrier with less sensors for higher energy efficiency. Both analytical and simulation studies demonstrate that the proposed algorithms can provide high detection probability and long lifetime for UWSNs.

A 3D Model Watermarking Algorithm

2013 ◽  
Vol 798-799 ◽  
pp. 708-711
Author(s):  
Xiu Hu Tan
Keyword(s):  
Detection Probability ◽  
3D Model ◽  
False Alarm Probability ◽  
3D Models ◽  
Model Potential ◽  
Least Mean Square ◽  
New Approach ◽  
Geometry Model ◽  
3D Geometry ◽  
High Detection

The popularity of 3D content is on the rise since it provides an immersive experience to viewers. In this paper, we present a new approach to watermarking 3D models based on optimization statistics. Through choosing the vertexes, we are able to obtain to the embedded watermark that has the least modified to topology transform of the 3D geometry model, and then project the watermark to the space that has the least mean square error value. So, we obtain that the robustness of the approach lies in hiding a watermark in the space that is least susceptible to the 3D model potential modification. Through analysis and constraint the conditions, we can obtain a high detection probability, a low false alarm probability. The robustness of our method is demonstrated by various attacks through computer simulation.

An Array Nonlinear Kalman Tracker for Indoor GPS Signal

2010 ◽  
Vol 44-47 ◽  
pp. 3864-3868
Author(s):  
Ji Cheng Ding ◽  
Lin Zhao ◽  
Jia Liu ◽  
Shuai He Gao
Keyword(s):  
Dynamic Programming ◽  
Kalman Filter ◽  
Detection Probability ◽  
Viterbi Algorithm ◽  
Signal Quality ◽  
Tracking Loop ◽  
Central Difference ◽  
Signal Tracking ◽  
High Detection ◽  
Central Difference Kalman Filter

To implement indoor GPS signal tracking in standalone mode when the tracking loop is unlocked and data bit edge is unknown, the paper develops a modified Viterbi Algorithm (MVA) based on dynamic programming, and it was applied for GPS bit synchronization. Besides, two combination carrier tracking schemes based on Central Difference Kalman Filter (CDKF) and MVA module were designed for indoor GPS signal. The testing results indicate that the methods can successful detect bit edge position with high detection probability whether or not the tracking loop is locked. The co-operational tracking scheme is still able to perform when the signal quality deteriorate.

Factors influencing detection probabilities of frogs in the monsoonal tropics of northern Australia: implications for the design of monitoring studies

2013 ◽  
Vol 40 (5) ◽  
pp. 393 ◽  
Author(s):  
P. L. Dostine ◽  
S. J. Reynolds ◽  
A. D. Griffiths ◽  
G. R. Gillespie
Keyword(s):  
Detection Probability ◽  
Individual Species ◽  
Sampling Effort ◽  
Northern Australia ◽  
Wet Season ◽  
Factors Influencing ◽  
Detection Probabilities ◽  
High Detection ◽  
Frog Species ◽  
A Site

Context Failure to acknowledge potential bias from imperfect detection of cryptic organisms such as frogs may compromise survey and monitoring programmes targeting these species. Aims The aims of the present study were to identify proximate factors influencing detection probabilities of a range of frog species in monsoonal northern Australia, and to estimate the number of repeat censuses required at a site to have confidence that non-detected species are absent. Methods Data on detection or non-detection of frog species based on calling individuals were recorded during 10 wet-season censuses of 29 survey sites in the Darwin region. Factors influencing detection probabilities were identified using occupancy models; model selection was based on the Akaike information criterion. Sampling effort for individual species was calculated using model predictions at different stages of the wet season. Key results The covariate water temperature featured in the best-supported models for 7 of the 14 frog species. Six of these species were more likely to be detected when water temperatures were below 30°C. Detection probabilities were also correlated with the number of days since the commencement of the wet season, time since last significant rainfall, air temperature and time after sunset. Required sampling effort for individual species varied throughout the wet season. For example, a minimum of two repeat censuses was required for detection of Litoria caerulea in the early wet season, but this number increased to 13 in the middle stage of the wet season. Conclusions Variability in environmental conditions throughout the wet season leads to variability in detection probabilities of frog species in northern Australia. Lower water temperatures, mediated by rainfall immediately before or during surveys, enhances detectability of a range of species. For most species, three repeat surveys under conditions resulting in a high detection probability are sufficient to determine presence at a site. Implications Survey and monitoring programmes for frogs in tropical northern Australia will benefit from the results of the present study by allowing targeting of conditions of high detection probability for individual species, and by incorporating sufficient repeat censuses to provide accurate assessment of the status of individual species at a site.

Three-dimensional imaging laser radar with a photon-counting avalanche photodiode array and microchip laser

2002 ◽  
Vol 41 (36) ◽  
pp. 7671 ◽  
Author(s):  
Marius A. Albota ◽  
Richard M. Heinrichs ◽  
David G. Kocher ◽  
Daniel G. Fouche ◽  
Brian E. Player ◽  
...  
Keyword(s):  
Photon Counting ◽  
Three Dimensional ◽  
Avalanche Photodiode ◽  
Microchip Laser ◽  
Laser Radar ◽  
Three Dimensional Imaging ◽  
Photodiode Array
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