Prediction of Passive Sonar Detection Range in Different Detection Probability

2018 ◽  
Author(s):  
Yinghua Guo ◽  
Ruifeng Ai ◽  
Yingchun Chen ◽  
Yali Qi
Keyword(s):  
Detection Probability ◽  
Detection Range ◽  
Passive Sonar

Statistical Analysis of Sonar Performance Prediction in Littoral Environments

2006 ◽  
Vol 22 (2) ◽  
pp. 155-160 ◽  
Author(s):  
C.-W. Wang ◽  
M.-C. Yuan ◽  
C.-R. Yang ◽  
Y.-Y. Chang ◽  
C.-F. Chen
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Performance Prediction ◽  
Figure Of Merit ◽  
Ambient Noise ◽  
Transmission Loss ◽  
Ocean Water ◽  
Detection Range ◽  
Passive Sonar ◽  
Ocean Environment

AbstractThis paper presents the Statistical Analysis of Passive Sonar Performance Prediction in Littoral Environments. Passive sonar performance and acoustic prediction mainly refer to the detection range. The inputs for estimating the sonar detection range include the Figure of Merit (FOM), Transmission Loss (TL), and Ambient Noise (NL) of the operation region. These inputs are directly related to the ocean environment; hence, the detection range is, too. A littoral environment is highly variable both in time and space. This paper proposes a methodology for analyzing the statistical properties of the detection range from measurements of ocean water column properties. It is found that the detection range of the southwestern region of Taiwan in the summer is 13.8km with 5.9km as the standard deviation and in the winter is 37.8km with 33.6km as the standard deviation.

Advances in Fish Tagging and Marking Technology

2012 ◽  
Keyword(s):  
Detection Probability ◽  
Detection Rate ◽  
Low Cost ◽  
Probability Of Detection ◽  
Major Influence ◽  
Statistical Solution ◽  
Detection Range ◽  
Temporal Complexity ◽  
Potential Alternative ◽  
Range Testing

<i>Abstract</i>.—Acoustic monitoring is a widely used low-cost technique for studying the movements of aquatic animals. One common deployment configuration is a linear array of receivers such that passage of a tagged animal across a line of receivers is detected. The typical goal is to estimate the fraction of a population that moves across the line. Receivers in an array can have nonoverlapping or overlapping detection probability envelopes. It has been assumed in the case of nonoverlapping arrays that the detection rate of tagged animals is proportional to the coverage of the line. Unfortunately, the estimation process is not as simple as previously believed. In fact the probability of detection is more Gaussian-shaped rather than uniform with distance from the receiver, and varies over time due to biotic and abiotic noise. Wind-generated noise in particular can have a major influence on the performance of receivers. Range testing, while important, will not solve the problem. In fact, the temporal complexity of this variable detection probability envelope renders a statistical solution improbable. Simulation modeling provides a potential alternative for estimating detection probability for nonoverlapping arrays, however, for most situations, the best solution is to design an overlapping array, with the detection range estimated for the worst environmental conditions.

On the possibility of detecting surfacing sperm whales at risk of collision using others' foraging clicks

2007 ◽  
Vol 87 (1) ◽  
pp. 47-58 ◽  
Author(s):  
E. Delory ◽  
M. André ◽  
J.-L. Navarro Mesa ◽  
M. van der Schaar
Keyword(s):  
At Risk ◽  
Canary Islands ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Sperm Whale ◽  
Physeter Macrocephalus ◽  
Sperm Whales ◽  
Detection Range ◽  
Passive Sonar ◽  
Acoustic Sources

Cetaceans are prone to collisions with fast vessels, and in areas of high cetacean and vessel density such as in the Canary Islands, the sperm whale (Physeter macrocephalus) is of great concern. Sperm whales are highly vocal and can be localized with passive sonar, but, when at or near the surface, they tend to stop vocalizing, i.e. when they are most at risk. Regrettably, ship-borne active solutions have proven inefficient due to the short detection range and the ships' high-speeds. Our objective in this paper is to evaluate the efficiency of an original passive sonar solution that would use vocalizing whale clicks at depth as acoustic sources to detect silent whales. This solution could be a non-invasive complementary component of a more complex passive localization whale anti-collision system. To meet this aim, a simulation tool for 3D acoustic propagation was designed in which a wideband Nx2D ray solution of the wave equation simulates a passive solution consisting of an arbitrary number of active acoustic sources, an illuminated object, and a receiver, all positioned in a three-dimensional space with arbitrary bathymetry. Both curved and straight ray solutions were implemented, the latter providing greater computational speeds at the expense of temporal and angular precision. The software recreates the resulting sound mixture of direct, reverberated and target back-scattered signals arriving at the array sensors for any array configuration, any number of sources and one target. Simulations show the application of the concept for the Canary Islands, with a detection range upper bound of the order of one kilometre.

Research on Aircraft Target Detection Probability for OTHR

2014 ◽  
Vol 644-650 ◽  
pp. 1261-1265
Author(s):  
Jing Jia ◽  
Wen Sheng ◽  
Lu Zhang
Keyword(s):  
Simulation Model ◽  
Target Detection ◽  
Detection Probability ◽  
Great Influence ◽  
Simulation Method ◽  
Detection Range

In this paper, a simulation method of detection probability of aircraft target for Over-The-Horizon Radar (OTHR) by computer is proposed. The effects of different ionosphere states on detection range for OTHR is concluded, which become constraint on simulation of detection probability. Taking variety of target RCS with attitude during flight through given track into consideration, simulation model of target dynamic RCS is established. Models of instantaneous detection probability and comprehensive detection probability are also presented. Then, detection probability of aircraft can be obtained through utilizing all models above based on given calculation steps. Simulations show that ionosphere state and target RCS have a great influence on detection probability.

A New Approach for Coverage Area Computing of Radar Network

2011 ◽  
Vol 328-330 ◽  
pp. 1990-1994
Author(s):  
Shen Shen Wang ◽  
Wan Fang Che ◽  
Jin Fu Feng ◽  
Ming Zhong Li
Keyword(s):  
Detection Probability ◽  
Signal To Noise Ratio ◽  
Probability Model ◽  
False Alarm Probability ◽  
Coverage Area ◽  
Detection Range ◽  
New Approach ◽  
Radar Network ◽  
The Relationship ◽  
Ratio Detection

Traditional methods regard coverage area of radar network as the union of every radar’s coverage area. Aiming at this issue, the relationship among radar detection range, radar cross section, signal-to-noise ratio, detection probability and false alarm probability is analyzed. Detection probability model for single radar is established. Calculation method of detection probability for radar network is also researched. Coverage area of radar network can be obtained according to the detection probability. Simulation results show coverage area of radar network is not simply the union of every radar’s coverage area and it is decided by the detection probability. Research of this paper provides a theoretical base of detecting, tracking and placement for radar network.

scholarly journals Acoustic telemetry detection probability and location accuracy in a freshwater wetland embayment

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Nathan D. Stott ◽  
Matthew D. Faust ◽  
Christopher S. Vandergoot ◽  
Jeffrey G. Miner
Keyword(s):  
Detection Probability ◽  
Acoustic Telemetry ◽  
Large Scale ◽  
Open Water ◽  
Tidal Marshes ◽  
Freshwater Wetland ◽  
Location Error ◽  
Positional Accuracy ◽  
Detection Range ◽  
Transmitter Power

Abstract Background In recent years, large-scale acoustic telemetry observation networks have become established globally to gain a better understanding of the ecology, movements and population dynamics of fish stocks. When studying a species that uses different habitats throughout its life history difficulty may arise where acoustically suboptimal habitats are used, such as shallow, vegetated areas. To test the feasibility of active tracking in these acoustically suboptimal habitats, we quantified detection probability and location error as a function of several environmental variables with two transmitter types in a shallow freshwater embayment. Results When placed in nearshore areas (< 1 m deep), the higher-powered transmitter (158 dB) had significantly greater detection probability than the lower-powered transmitter (152 dB). For both transmitter types, detection probability declined at 200 m; however, at the 100 m distance the higher-powered transmitter had greater than 50% detection probability per ping cycle (50.4%) while the lower-powered transmitter was substantially less (29.4%). Additionally, detection probability increased when the transmitter was deployed within sparse, senescent Phragmites spp. vegetation (14%). Estimated positional accuracy of transmitters deployed at known locations (location error) was variable (error range: 13–259 m), and was generally higher for the more powerful transmitter. Location error was minimized when the lower-powered transmitter was located near softened shoreline areas compared to near man-made armored shorelines (i.e., rip-rap). Conclusion While benefits exist for maximizing transmitter power (e.g., increased detection range in open-water environments), use of a lower-powered transmitter may be advantageous for active tracking specific locations of fish inhabiting shallow water environments, such as in estuarine tidal marshes and shallow wetlands. Thus, when planning acoustic telemetry studies, researchers should conduct site-specific preliminary detection probability/location error experiments to better understand the utility of acoustic telemetry to investigate fish movements in acoustically suboptimal conditions.

Seti Figure of Merit

1997 ◽  
Vol 161 ◽  
pp. 711-717 ◽  
Author(s):  
John W. Dreher ◽  
D. Kent Cullers
Keyword(s):  
Figure Of Merit ◽  
Qualitative Difference ◽  
Current Generation ◽  
Detection Range ◽  
Sky Surveys ◽  
Independent Observations ◽  
Good For

AbstractWe develop a figure of merit for SETI observations which is anexplicitfunction of the EIRP of the transmitters, which allows us to treat sky surveys and targeted searches on the same footing. For each EIRP, we calculate the product of terms measuring the number of stars within detection range, the range of frequencies searched, and the number of independent observations for each star. For a given set of SETI observations, the result is a graph of merit versus transmitter EIRP. We apply this technique to several completed and ongoing SETI programs. The results provide a quantitative confirmation of the expected qualitative difference between sky surveys and targeted searches: the Project Phoenix targeted search is good for finding transmitters in the 109to 1014W range, while the sky surveys do their best at higher powers. Current generation optical SETI is not yet competitive with microwave SETI.

Sonar operator performance considerations in passive sonar systems

1975 ◽  
Author(s):  
R. J. Hornick ◽  
G. Yamashita ◽  
J. E. Robinson ◽  
H. J. Winkler
Keyword(s):  
Operator Performance ◽  
Passive Sonar ◽  
Sonar Systems ◽  
Performance Considerations

АКУСТИЧНА ПОМІТНІСТЬ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ АПАРАТІВ З СИЛОВИМИ УСТАНОВКАМИ НА БАЗІ ПОРШНЕВИХ ДВИГУНІВ

2020 ◽  
pp. 62-80
Author(s):  
В. В. Руденко ◽  
И. В. Калужинов ◽  
Н. А. Андрущенко
Keyword(s):  
Control System ◽  
Internal Combustion Engine ◽  
Power Plants ◽  
Combustion Engine ◽  
Spectral Characteristics ◽  
Experimental Studies ◽  
Internal Combustion ◽  
Detection Range ◽  
Acoustic Signature ◽  
Static Conditions

The presence in operation of many prototypes of UAVs with propeller propellers, the use of such devices at relatively low altitudes and flight speeds makes the problem of noise reduction from UAVs urgent both from the point of view of acoustic imperceptibility and ecology.The aim of the work is to determine a set of methods that help to reduce the visibility of UAVs in the acoustic range. It is shown that the main source of noise from the UAV on the ground is the power plant, which includes the engine and the propeller. The parameters of the power plants influencing the processes that determine the acoustic signature of the UAV were investigated. A comprehensive analysis of the factors affecting visibility was carried out. The power plants include two-stroke and four-stroke engines, internal combustion and two-blade propellers. The use of silencers on the exhaust of the internal combustion engine was considered. The spectral characteristics of the acoustic fields of the propeller-driven power plants for the operating sample of the UAV "Eco" were obtained. The measurements were carried out in one-third octave and 1/48 octave frequency bands under static conditions. The venue is the KhAI airfield. Note that the propellers that were part of the power plants operated at Reynolds numbers (Re0,75<2*105), which can significantly affect its aerodynamic and acoustic characteristics. It is shown that when choosing a UAV control system, one should take into account the fact that two-stroke piston engines are the dominant source in the noise of propeller-driven control systems in the absence of a hood and mufflers in the intake and exhaust tracts. The use of a four-stroke internal combustion engine significantly reduces the noise of the control system. In the general case, the position of the boundaries of the zone of acoustic visibility of a UAV at the location of the observer is determined by the ratio between the intensity of acoustic radiation perceived by the observer from the UAV and the intensity of sound corresponding to the natural acoustic background and depends on the degree of manifestation of acoustic effects accompanying the propagation of sound in a turbulent atmosphere - the refraction of sound waves. Absorption and dissipation of acoustic energy. The calculation and comparison of the UAV detection range was carried out taking into account the existing natural maskers.The results of experimental studies are presented that allow assessing the degree of acoustic signature of the UAV. A set of measures aimed at reducing the intensity of the acoustic signature of the UAV in various regions of the radiation spectrum has been determined.

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