A5058782018- GNSS positioning and interference
- Target Tracking and Data Fusion in Sensor Networks
- Inertial Sensor and Navigation
- Indoor and Outdoor Localization Technologies
- Soil Moisture and Remote Sensing
- Space Satellite Systems and Control
- Anomaly Detection Techniques and Applications
- Fault Detection and Control Systems
- Precipitation Measurement and Analysis
- Seed and Plant Biochemistry
- Pregnancy and preeclampsia studies
- Urologic and reproductive health conditions
- Liver Diseases and Immunity
- Wireless Body Area Networks
- Experimental and Theoretical Physics Studies
- Prostate Cancer Diagnosis and Treatment
- Spacecraft Design and Technology
- Energy and Environment Impacts
- Insurance, Mortality, Demography, Risk Management
- Radar Systems and Signal Processing
- Underwater Vehicles and Communication Systems
- Malaria Research and Control
- Ionosphere and magnetosphere dynamics
- RFID technology advancements
- Astro and Planetary Science
Indraprastha Institute of Information Technology Delhi
2018-2024
Indian Institute of Technology Delhi
2018-2024
Medical College and Hospital, Kolkata
2019
UNSW Sydney
2016-2017
Indian Institute of Technology Bombay
2015-2016
Jadavpur University
2016
R. G. Kar Medical College and Hospital
2015
Indian Institute of Engineering Science and Technology, Shibpur
1975
This article deals with state estimation of nonlinear stochastic dynamic systems. The stress is laid on general introduction the selected methods, description their application in navigation systems, and treatment error sources systems design.
Abstract With the sustained rise in satellite deployment Low Earth Orbits, collision risk from untracked space debris is also increasing. Often small-sized (below 10 cm) are hard to track using existing state-of-the-art methods. However, knowing such debris’ trajectory crucial avoid future collisions. We present a Physics Informed Neural Network (PINN)—based approach for estimation of after event between active and debris. In this work, we have simulated 8565 inelastic events satellites To...
A priori state vector and error covariance computation for the Unscented Kalman Filter (UKF) is described. The original UKF propagates multiple sigma points to compute a mean covariance, resulting in higher computational time compared Extended (EKF). In proposed method, posterior propagated then at current step are calculated using first-order Taylor Series approximation. This reduces significantly, as demonstrated two example applications which show improvements of 90.5% 92.6%. method shows...
The Extended Kalman Filter (EKF) is a well established technique for position and velocity estimation. However, the performance of EKF degrades considerably in highly non-linear system applications as it requires local linearisation its prediction stage. Unscented (UKF) was developed to address non-linearity by deterministic sampling. UKF provides better estimation accuracy than systems. multiple propagations sampled state vectors measurement interval, which results higher processing time...
Attitude determination performance analysis of two newly developed Fast Unscented Kalman Filters for CubeSat platforms is presented. The attitude scenario UNSWs EC0 by the Australian Centre Space Engineering Research (ACSER) used simulation experiment. A gyro, a magnetometer, earth and sun sensor observations are simulated in various estimation algorithms state estimation. vector consists satellites gyro bias vector. EKF, UKF new UKFs called Single Propagation Filter (SPUKF) Extrapolated...
The extrapolated single propagation technique (ESPT) based particle filter is proposed. Instead of propagating all the sample state vectors using multiple numerical integrations, only one vector propagated in ESPT. Other states are computed at next epoch with an accuracy second-order Taylor series expansion terms. It theoretically shown that algorithm, which uses ESPT for propagation, requires up to 90% reduced processing time than conventional filter. Using a benchmark non-linear estimation...
Recent developments in the launching of low-earth orbit (LEO) mega-constellations communication satellites and medium-earth (MEO) constellations navigation present an opportunity for target detection by passive radar receivers. System-level studies multi-static performance land sea targets must account diversity number spatial distribution satellite transmitters. In this work, we model transmitters as a homogeneous Poisson point process subsequently use stochastic geometry tools to derive...
Modern infrastructure and a myriad of services rely on positioning timing information provided by Global Navigation Satellite Systems (GNSS) in particular the Positioning System (GPS). However, given their low received signal power levels, GNSS signals are vulnerable to Radio Frequency Interference (RFI), either from non-intentional or intentional (jamming), sources. Hence, itself has become critical which must be protected. Since RFI source is unknown priori, passive localization systems...
Global Navigation Satellite System (GNSS) signals are vulnerable to intentional or unintentional Radio Frequency Interference (RFI) sources. Since GNSS is used in numerous critical services, it of interest accurately localise and track the RFI source take further actions. This paper explores possibility implementing Particle Filter for localising a moving using Angle Arrival (AOA) Time Difference (TDOA) observations. The performance Single Propagation Unscented Kalman (SPUKF) compared this...
BACKGROUNDProstatic carcinoma and Nodular Hyperplasia of Prostate (NHP) account for more than 90% all prostatic diseases.Also, early symptoms NHP cancers are overlapping.However, the final diagnosis is always based on histopathological examination.Currently Trans-rectal ultrasound-guided core biopsy prostate recommended modality invasive investigation to rule out cancer in suspected cases.However, lack a cancer-specific marker, which can be utilized conjunction with routine histologic...
Systemic lupus erythematosus is an autoimmune systemic disease, particularly affecting women of reproductive age group. Male and associated nephropathy very uncommon. Elderly male presenting with still a rare finding in literature. We report case 67-year-old heavy proteinuria. also conclude that sex patient no bar for lupus, every physician must consider disease even elderly patients.
With the advent of multiple Global Navigation Satellite Systems (GNSS), feasibility navigation using GNSS observations beyond Low Earth Orbits has been explored in recent years. An estimation algorithm is one critical components a well-designed system, and it must be judiciously chosen for particular application. The non-linearity spacecraft dynamics highly elliptical orbit high if apogee higher than Medium Orbit, state vector motion may only partially observable due to limited availability...
Global Navigation Satellite System (GNSS) is a passive and in-expensive technique for remote sensing applications. GNSS reflectometry (GNSS-R) aims at analyzing the multipath signal reflected from surface surrounding receiving antenna. One of challenge size raw GNSS-R I/Q data. The data very large even short duration time. To address this issue an algorithm proposed using Compressive Sensing (CS) theory, to compress reduce that be transmitted further processing. first compressed CS theory...