Hours:
16 hours (4 credits)

Room:

Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa - Ground Floor

To register to the course, click here

Short Abstract:

This course provides an overview of the main and powerful tools for adaptive radar detection and clutter estimation in the context of multivariate statistical theory. Specifically, starting from the derivation of the signal and interference discrete time signal models, the course will focus on the design of disturbance parameter estimation techniques and target detection architectures grounded on the maximum likelihood approach and suitable modifications of it. The obtained decision rules will be assessed by deriving closed-form expressions for the probability of detection and probability of false alarm. Even though the specific examples are related to radar systems, this course will provide the students with rather general concepts that exhibit a broad application field.

Course Contents in brief:

See time schedule.

Schedule:

1. Day 1 (07/05/2026): Estimation Theory (3 hours) (14:30-17:30).
2. Day 2 (08/05/2026): Estimation of non random parameters (3 hours) (14:30-17:30).
3. Day 3 (14/05/2026): Direction of Arrival Estimation (4 hours) (14:30-18:30).
4. Day 4 (15/05/2026): Estimation of random parameters and spatial filtering (3 hours) (14:30-17:30).
5. Day 5 (21/05/2026): Detection Theory (3 hours) (14:30-17:30).