2022 IEEE International Symposium
on Phased Array Systems and Technology

Revolutionary Developments in Phased Arrays

11–14 October 2022

Tutorial: Modelling Phased Arrays for Radar and 5G Systems

Attendees will learn techniques to design, model, and simulate phased arrays that can be used in radar and 5G systems. We will use MATLAB to demonstrate how to model array parameters and a range of array geometries, as well as MIMO and digital array concepts. The tutorial will also cover techniques to model complex antenna structures to add greater levels of fidelity to system models.

The outline for the session includes the following sections:

Introduction and motivation for phased array modelling
Overview of design and analysis of complex transmit and receive arrays, including subarray structures
Integrating antenna designs from solver-based simulations and chamber measurements
Use optimization techniques to synthesize arrays that generate specific patterns
Perturb array parameters in support of Monte Carlo analysis
Adaptive beamforming and space-time adaptive processing (STAP) for radar
Spatial multiplexing and hybrid beamforming for 5G applications
System level simulation examples

Attendees will receive code that can be used to recreate all of the plots we show in the session and a set of examples that can be used to explore the topics we cover in the tutorial. In addition, we will provide a trial license for related tools.

Honglei Chen (MathWorks)

Honglei Chen is a principal engineer at MathWorks where he leads the development of phased-array system simulation tools and algorithms for radar, 5G, sonar, and ultrasound applications. Prior to his current role, Honglei also developed tools and algorithms focused on signal processing systems. Honglei received his Bachelor of Science from Beijing Institute of Technology and his MS and PhD, both in electrical engineering, from University of Massachusetts Dartmouth.

Rick Gentile (MathWorks)

Rick Gentile focuses on Phased Array, Signal Processing, and Sensor Fusion applications at MathWorks. Prior to joining MathWorks, Rick was a Radar Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of many large radar systems. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems, including automotive driver assist systems. Rick co-authored the text “Embedded Media Processing”. He received a B.S. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing.