EC838 Multi Target Tracking and Multi-Sensor Information Fusion

Course Name: 

EC838 Multi Target Tracking and Multi-Sensor Information Fusion

Programme: 

M.Tech (CE)

Category: 

Elective (Ele)

Credits (L-T-P): 

(4-0-0) 4

Content: 

Target tracking, performance evaluation techniques, data association. Tracking with multiple sensors, out - of - sequence measurement, track initialization, track management. Probabilistic Data Association Filter (PDAF), adaptive gating for PDAF. Maximum Likelihood - PDA (ML - PDA). Joint Probabilistic Data Association Filter (JPDA). Multiple Hypothesis Tracking (MHT). Performance prediction, sensor management, track - to - track fusion. Nonlinear filters.

References: 

Y. Bar-Shalom, X. Rong Li, Multi Target Multi Sensor Tracking-Principles and Techniques, YBS Publishers, 1995.
Y.Barshalom, P K Willet and X Tin, Tracking and Data Fusion: A Hand book of algorithms, Yaakov Bar-Shalom, 2011.
Y.Barshalom, Multitarget-Multisensor Tracking: Applications and Advances v.2, Yaakov Bar-Shalom, 2000.
Y.Barshalom, Multitarget-Multisensor Tracking: Applications and Advances v.3, Artech House, 2000.
S.Blackman and R.Popoli, Design and Analysis of Modern Tracking systems published by Artech house, 1999.

Department: 

Electronics and Communication Engineering(ECE)
 

Contact us

Dr. T. Laxminidhi,  Professor and Head, 
Department of E&C, NITK, Surathkal
P. O. Srinivasnagar,
Mangalore - 575 025 Karnataka, India.

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