schedule

venue

Tuesday, September 9, 2025

13:00~17:00

Macnica Shinagawa Office 5th floor seminar room

time

Content

13:00-14:00

Anyone can use it! Basic measurement principles and data formats of FMCW radar (basic theory)

Analog Devices, Inc.

This session will systematically explain the basic principles of distance, direction, and speed estimation for advanced application development using millimeter wave radar with FMCW MIMO configuration. In addition, we will introduce representative signal processing methods such as direction estimation algorithms (MUSIC, ESPRIT, etc.) and constant rate false alarm control (CFAR), and introduce their operating principles and application examples. Through processing on MATLAB® using IF raw data acquired from an actual sensor, we will practically explain the entire workflow from preprocessing, spectrum analysis, to algorithm implementation with sample code. Through this session, we aim to deepen understanding of radar sensor data and form the foundation for effective feature design for future AI and machine learning utilization.

14:00-15:00

Anyone can understand! Radar characteristics as seen from antenna configuration

Analog Devices, Inc.

In this session, participants will learn the basics of antenna design and signal processing required for radar application development using a radar module that uses our millimeter wave radar MMIC as an example.

In the first half, we will explain the characteristics of the beam pattern in the antenna structure, as well as the design policy for antenna arrangement and chirp profile, with application examples.
In the second half, we will discuss the basic concept of beamformers using array antennas and provide a simulation-based explanation using MATLAB®'s Sensor Array Analyzer System Toolbox™.

15:00-16:30

Everyone wants to try it! Application and development of AIx radar systems

MathWorks Japan, Yoshinobu Takemoto and Daichi Tanaka

As the practical application of AI technology using images and sensor signals accelerates, the application of AI technology in the field of radar signal processing is also attracting attention. In this session, we will explain the basics of deep learning along with the specific workflows that are actually required, and introduce examples of applying them to radar systems.

In the second half, we will explain the function of implementing a system with algorithms studied on an FPGA. FPGAs are devices that combine high-speed calculation performance with flexible design capabilities, and are widely used in defense products. By utilizing MATLAB® in FPGA development, it is possible to carry out the entire process from AI development to actual device implementation and verification. Using an AI that classifies radar signals as an example, we will introduce the entire workflow up to implementation on an FPGA.

16:30-17:00

Introducing the Radar Sensor Evaluation Kit that will get everyone started!

Norio Otsuki, Macnica Inc.

This seminar will introduce radar sensors, which are expected to be used in a variety of applications, and evaluation kits that facilitate their introduction and accelerate validation, with demonstrations of actual equipment. In the second half of the seminar, we will introduce examples of AI models developed using these evaluation kits, along with use cases.