Skip to Main Content

Ansys HFSS SBR+ Indoor Wireless Antenna Placement (Self-paced Learning Available)

Course Overview

HFSS SBR+ Indoor Wireless starts with the set up and simulation of antenna near fields and shooting and bouncing ray simulation throughout a house. The student will learn how to import CAD models, assign boundary conditions, and evaluate different antenna sources and results, such as near-field contour plots as well as antenna-to-antenna coupling. Modules 1 and 2 guide the student through the workflow and provide context on efficiency, accuracy and run times. Modules 3 and 4 discuss accuracy compared to full wave techniques with the goal of obtaining far-field patterns used to represent transceivers in complex scenes.


Teaching Method

The course is entirely based on self-paced video lectures which include workshop examples demonstrated.  Workshop simulation files are provided, and, in most cases, you should follow along with the videos.

Learning Outcome

Following completion of this course, you will be able to:

  • Import CAD models and set up scenes
  • Set up and solve near fields
  • Simulate coupling with two different antennas
  • Compare full wave simulations to SBR+ simulations to gauge accuracy
  • Aggregate installed antenna behavior into increasingly larger scenes.

 Available Dates

Learning Options

Training materials for this course are available with an Ansys Learning Hub Subscription. If there is no active public schedule available, private training can be arranged. 

Self-paced Learning 

Complete a class on your own schedule at your own pace. Scope is equivalent to Instructor led classes. Includes video lecture, workshops and input files. All our Self-Paced video courses are only available with an Ansys Learning Hub subscription.


This is a self-paced course covering the following four modules. Learning hours 3.5, approximately

  • Module 1: Near Field Setup and Simulation
  • Module 2: Parameterized Coupling
  • Module 3: SBR+ to Full Wave Comparison
  • Module 4: Antenna Pattern Aggregation for Large Scenes