Optimal Estimation: Sensor and Data Association

Course #EC3310

Est.imated Completion Time: 3 months

POC: NPS Online Support

Overview

The subject of this course is optimal estimation and Kalman filtering with extensions to sensor fusion and data association. Main topics include the theory of optimal and recursive estimation in linear (Kalman filter) and nonlinear (extended Kalman filter) systems, with applications to target tracking. Topics directly related to applications, such as basic properties of sensors, target tracking models, multihypothesis data association algorithms, reduced order probabilistic models and heuristic techniques, will also be discussed. Examples and projects will be drawn from radar, EW, and ASW systems.

Security clearance: Secret

Included in degrees & certificates

  • 284

Prerequisites

  • EC2320
  • EC2010
  • MA2043
Offerings database access
Asset Publisher

Application Deadlines

  •  08 Jan 2024

    Spring Quarter applications due

  •  01 Apr 2024

    Summer Quarter applications due

  •  08 Jul 2024

    Fall Quarter applications due

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Academic Calendar

  •  09 Oct 2023

    Columbus Day (holiday)

  •  24 Oct 2023

    Shift day: treat as Friday class schedule

  •  10 Nov 2023

    Veteran's Day (holiday)

See NPS Academic Calendar for more dates.