Passive source tracking using sonar time delay data

McCabe, D.; Moose, R.

doi:10.1109/tassp.1981.1163609

Cited by 23 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where D g,h is differential time delay between spatially separated sensors g(x g , y g ) and (1). To preserve energy in ad hoc sensor networks, the passive sensors are predominant.…”

Section: Network Localization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Flipped parameter technique applied on source localization in energy constraint sensor arrays

Pavlović

Velickovic

2009

Facta Univ Phys Chem Technol

View full text Add to dashboard Cite

In this paper novel flipped parameter technique (FPT) for time delay estimation (TDE) in source localization problem is described. We propose passive source localization technique based on the development of an energy efficient algorithm that can reduce intersensor and interarray communication. We propose a flipped parameter (FP) which can be defined for any sensor in distributed sensor subarrays during the observation period. Unlike classical TDE methods that evaluate cross-correlation function, FPT requires evaluation based upon single sensor signal. The computed cross correlation between a signal and its analytic 'flipped' pair (flipped correlation) is a smooth function which peak (time delay) can be accurately detected. Flipped parameters are sufficient to determine all differential delays of the signals related to the same source. The flipped parameter technique can be used successfully in two-step methods of passive source localization with significantly less energy in comparison to the classic cross correlation. The use of FPT method is especially significant for the energy constrain distributed sensor subarrays. Using synthetic seismic signals, we illustrate the error of the source localization for classical and proposed method in the presence of noise. We demonstrate the performance improvement in noise environment of the proposed technique in comparison to the classic methods that use real signals. The proposed technique gives accurate results for both coherent and non-coherent signals

show abstract

“…where D g,h is differential time delay between spatially separated sensors g(x g , y g ) and (1). To preserve energy in ad hoc sensor networks, the passive sensors are predominant.…”

Section: Network Localization Methodsmentioning

confidence: 99%

“…The signal source localization is one of problems that has been explored for a long time. [1]- [3]. Algorithms for source localization are applied in seismics, acoustics, SONAR, RADAR, microphone array processing and speech recognition.…”

Section: Introductionmentioning

confidence: 99%

Flipped parameter technique applied on source localization in energy constraint sensor arrays

Pavlović

Velickovic

2009

Facta Univ Phys Chem Technol

View full text Add to dashboard Cite

show abstract

“…The term wO is of the same form as (28) and is just the previous weighting term at the previous time interval k.…”

Section: Kalman Gain (26)mentioning

confidence: 99%

Active Control of Generalized Complex Modal Structures in a Stochastic Environment

Baumann¹,

Moose²,

VanLandigham³

et al. 1992

View full text Add to dashboard Cite

IOMS Aov ed0Pubic reporting burden for this colilection of information is estimated to Average I mour oer resporse. nciuaing the time for reviewing instructions. Searching existing data sourCe , gathering and maintaining the data needed, and completing and reviewing the collectiOn of incrinatiOn Send comments regarding this burden estimate or any other aspect of thys collection of information. including suggestion% for reducing tis Ourden to Washington Healdouarters Services. See Attachment ABSTRACT (Maximum 200 words)This report deals with the active control of heavily damped vibratory mechanical systems in a stochastic environment. The systems of interest are multiple input, multiple output (MIMO)structures that are modeled by generalized complex modes. The control objective is to suppress the effects of impulsive distur bances within a short period of time as well as to provide specified reduction of vibration due to ever-present Gaussian and nonGaussian stochastic disturbances.The team effortdescribed separatelyin this report can be viewed as three interactive parts:one group investigating the robust control issues; one, the nongaussian estimation problem and a third group working with a mechanical plate experiment, generating data and identification algorithms.The experimental model was constructed in the M. E. Department under DARPA funding. The robust control investigators used modern analysis and synthesis tools to incorporate the required performance directly into the design procedure. The approach to handle the nongaussian state estimation problem was in the use of an adaptive Gaussian sum state estimator. SUBJECT TERMS IWorking with realistic modal descriptions of vibratory mechanical systems, the technical objective was to design active damping controllers. The systems of interest are multiple input, multiple output (MIMO), heavily damped structures with complex modes. The control objective is to suppress the effects of impulsive disturbances within a short period of time as well as to E provide a specified reduction of vibration due to ever-present stochastic disturbances.Systems with complex modes cannot be decoupled exactly. One issue that was resolved was the impracticality of using a controller for an approximately decoupled system. Simulations showed that the desired amount of damping could not be achieved with this controller due to stability problems caused by the approximations. 3The technical issue regarding state estimation was to develop an optimal estimator for the system driven by non-gaussian stochastic signals. I (2) TECHNICAL APPROACHES: IThe team effort can be viewed as three interactive parts:one group investigating the robust control issues; one, the non-gaussian estimation problem and a third group working with a mechanical plate experiment, generating data and identification algorithms. The experimental model was constructed in the M.E. Department under DARPA funding. Our group interacted well with the M.E. group, sharing ideas and methods where relevant. IThe robust control ...

show abstract

“…Underwater surveillance for detecting and tracking hostile targets has often been conducted by distributed sensor networks [1,2,3]. However, new stealth technologies present challenges to detection, as the targets are increasingly becoming invisible.…”

Section: Introductionmentioning

confidence: 99%

Robust Target Tracking with Multi-Static Sensors under Insufficient TDOA Information

Shin

Nelson

et al. 2018

Sensors

View full text Add to dashboard Cite

This paper focuses on underwater target tracking based on a multi-static sonar network composed of passive sonobuoys and an active ping. In the multi-static sonar network, the location of the target can be estimated using TDOA (Time Difference of Arrival) measurements. However, since the sensor network may obtain insufficient and inaccurate TDOA measurements due to ambient noise and other harsh underwater conditions, target tracking performance can be significantly degraded. We propose a robust target tracking algorithm designed to operate in such a scenario. First, track management with track splitting is applied to reduce performance degradation caused by insufficient measurements. Second, a target location is estimated by a fusion of multiple TDOA measurements using a Gaussian Mixture Model (GMM). In addition, the target trajectory is refined by conducting a stack-based data association method based on multiple-frames measurements in order to more accurately estimate target trajectory. The effectiveness of the proposed method is verified through simulations.

show abstract

Passive source tracking using sonar time delay data

Cited by 23 publications

References 3 publications

Flipped parameter technique applied on source localization in energy constraint sensor arrays

Flipped parameter technique applied on source localization in energy constraint sensor arrays

Active Control of Generalized Complex Modal Structures in a Stochastic Environment

Robust Target Tracking with Multi-Static Sensors under Insufficient TDOA Information

Contact Info

Product

Resources

About