- Target Tracking and Data Fusion in Sensor Networks
- Advanced Fiber Laser Technologies
- Optical Network Technologies
- Nonlinear Photonic Systems
- Radar Systems and Signal Processing
- Photonic and Optical Devices
- Underwater Acoustics Research
- Distributed Sensor Networks and Detection Algorithms
- Nonlinear Waves and Solitons
- Advanced Thermodynamics and Statistical Mechanics
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Indoor and Outdoor Localization Technologies
- Inertial Sensor and Navigation
- Advanced Thermodynamic Systems and Engines
- Gaussian Processes and Bayesian Inference
- Laser-Matter Interactions and Applications
- Robotics and Sensor-Based Localization
- Infrared Target Detection Methodologies
- Advanced Photonic Communication Systems
- Time Series Analysis and Forecasting
- Direction-of-Arrival Estimation Techniques
- Guidance and Control Systems
- Advanced Fiber Optic Sensors
- Anomaly Detection Techniques and Applications
- Photonic Crystal and Fiber Optics
McDermott International (United States)
2025
Vidyasagar University
2005-2021
Government of Mizoram
2020
Maulana Azad National Institute of Technology
2020
Institute for Plasma Research
2020
Universidade Federal da Paraíba
2015
National Institute of Technology Raipur
2014
Birla Institute of Technology, Mesra
2013
AUG Signals (Canada)
2009-2011
McMaster University
2004-2008
Tracking multiple targets with uncertain target dynamics is a difficult problem, especially nonlinear state and/or measurement equations. With targets, representing the full posterior distribution over states not practical. The problem becomes even more complicated when number of varies, in which case dimensionality space itself discrete random variable. probability hypothesis density (PHD) filter, propagates only first-order statistical moment (the PHD) posterior, has been shown to be...
In this paper we consider the general problem of managing an array sensors in order to track multiple targets presence clutter. There are three complicating factors. The first is that because physical limitations (e.g., communication bandwidth) only a small subset available can be utilized at any one time. second complication associations measurements targets/clutter unknown. third total number surveillance region unknown and possibly time varying. It these factors extend previous work [...
The problem of sensor resource management for multitarget tracking in decentralized systems is considered here. Inexpensive sensors available today are used large numbers to monitor wide surveillance regions. However, due frequency, power, and bandwidth limitations, there an upper limit on the number that can be by a fusion center (FC) at any one time. then select subsets each sampling time order optimize performance (i.e., maximize accuracy existing tracks detect new targets as quickly...
Most present-day radar systems use monopulse techniques to extract angular measurements of sunbeam accuracy. The familiar "monopulse ratio" is a very effective means derive the angle single target within beam. For simultaneous estimation angles two closely-spaced targets, modification on ratio was derived in (Blair and Pearce, 2001), while (Sinha et al., 2002) presented maximum likelihood (ML) technique via numerical search. In this paper it shown that ML solution can fact be found...
Abstract McDermott, hereinafter referred to as Company, is awarded with installation of two 230KV composite cables part Marjan GOSP-4 Package-1 Project Saudi Aramco, Client. The new offshore facility designed handle the additional production capabilities requirements in field. purpose feed power from onshore substation Tanajib, KSA facility. Each cable 89 km length and approx. 7,000 MT weight. requirement Client lay both without any field joints. This led Company propose a unique solution...
An algorithm for the geolocation and tracking of an unknown number ground emitters using time difference arrival (TDOA) measurements in practical scenarios is proposed. The focus on solving important issue data association, i.e., deciding from which target, if any, a measurement originated. A previous solution association based assignment formulation passive systems relied two problems: S-dimensional (or SD, where S /spl ges/ 3) across sensors 2D measurement-to-track association. In this...
Among target tracking algorithms using Kalman filtering-like approaches, the standard assumptions are Gaussian process and measurement noise models. Based on these assumptions, filter is widely used in single or multiple versions (e.g., an interacting model (IMM) estimator). The oversimplification resulting from above can cause degradation performance. In this paper we explore application of Kalman-Levy to handle maneuvering targets. This assumes a heavy-tailed distribution known as Levy...
In this paper, we present a recursive track-before-detect (TBD) algorithm based on the Probability Hypothesis Density (PHD) filter for multitarget tracking. TBD algorithms are better suited over standard target tracking methods dim targets in heavy clutter and noise. Classical tracking, where measurements pre-processed at each time step before passing them to results information loss, which is very damaging if signal-to-noise ratio low. However, operates directly raw expense of added...
Detection and estimation of multiple unresolved targets with a monopulse radar is challenging problem. For ideal single bin processing, it was shown in the literature that at most two can be extracted from complex matched filter output signal. A new algorithm developed to jointly detect track more than detection help tracking information. That is, method involves use information process. this purpose, target states are transformed into parameter space, which high nonlinearities. In order...
We present a two-stage centralized algorithm for tracking multiple targets using spatially distributed bearings-only sensors that report the observations asynchronously. The are assumed to be passive, i.e., they detect energy emitted by of interest measure bearing. number in surveillance region is unknown priori and can enter or leave at any time. measurement origin also since detection due target being tracked, from new target, clutter. In first stage (the initialization stage) proposed...
An assignment-based solution for the data association problem in synchronous passive multisensor (Type 3) tracking systems involves two steps: first measurement-to-measurement or static is solved using a multidimensional ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i> -dimensional -D with sensors) assignment, and then measurement-to-track 2-D assignment. This computationally very expensive and, to rectify an efficient +1)-D assignment...
A 140 GHz phase-locked heterodyne interferometer system has been designed, developed and installed at Aditya Tokamak for real time density measurement. The uses a novel approach of zero-cross detection using in-phase quadrature (IQ) signals with single balanced mixer. transmitter receiver systems are phase locked by 100 MHz crystal oscillator the output mixed in mixer which produces highly stabilized intermediate frequency (IF) 2.0 GHz. This signal is further amplified low noise amplifier...
Direction of arrival (DOA) tracking an unknown number sources in a highly non-stationary environment is considered. Conventional DOA estimation techniques, such as MUSIC, fail when the stationary assumption violated. Furthermore, time-varying makes problem even more challenging. Recently, particle filtering approach, which propagates approximate posterior target states and then adopts reversible jump Markov chain Monte Carlo (RJMCMC) diversity step to resolve targets, was proposed. However,...
We reexamine the problems of computer-aided classification and pairing human chromosomes, propose to jointly optimize solutions these two related problems. The combined problem is formulated into one optimal three-dimensional assignment with an objective function maximum likelihood. This formulation poses technical challenges: 1) estimation posterior probability that chromosomes form a pair belongs class 2) good heuristic algorithms solve which NP-hard. present various techniques also...
Bearing-only filtering algorithms used in submarine tracking commonly assume that the target and ownship move same plane. In real-world scenarios, may actually different planes, since it be advantageous for to do so. Tracking of this scenario can accomplished by using passive bearing elevation measurements. Then algorithm angle-only 3D ranging with an infrared search track sensor applicable problem. Advances technology signal processing would allow a future system collect measurements...
Radar signal processing is particularly important in tracking closely spaced targets and the presence of sea-surface-induced multipath. Closely can produce unresolved measurements when they occupy same range cell radar. These issues are salient features benchmark problem for combined with radar management, which this paper presents only complete solution to date. In a modified version recently developed maximum likelihood (ML) angle estimator, two from single (unresolved) detection,...
Optical soliton propagation through an optical fiber is a well-established phenomenon in digital communication. This can be exploited to secure many advantages communication because of the unattenuated, unchirped, and undistorted Gaussian pulse propagated fiber. Here we propose completely new scheme for controlling power shape function form soliton, leading some characteristics connection with such propagation. To exploit this possibility electro-optic modulator used on before its introduction into