As the world’s second-largest manufacturer of copper-clad laminates, Shengyi Technology holds a global market share of 13.7% in rigid copper-clad laminates, maintaining its position as the second largest for 11 consecutive years, only behind the Taiwanese company, Kingboard Laminates. Since January 2024, the market value of another PCB leader, Shenghong Technology, has increased 16 times, … Read more
Click the blue “Radar Journal” to follow Technical Background and Significance In radar training, teaching, and scientific research, practical radar equipment is often constrained by factors such as high costs, wear and tear, large size, and electromagnetic radiation control, making it difficult to conduct experiments based on real installations. Moreover, using real radar is limited … Read more
Click the card below to follow the “Playful Continuous Wave” public account for essential radar introductory materials!【Main Content】 Edited by | Radar Assistant Reviewed by | Playful Brother 1. OverviewThis material is sourced from the publicly available learning resources on the NXP (NXP) official website: Acceleration on Automotive Radar Signal Processing – S32R The download … Read more
Research on Pedestrian Recognition Based on Automotive Radar Sensors Bartsch, A. et al. “Pedestrian recognition using automotive radar sensors.” Advances in Radio Science 10 (2012): 45-55. 1. Introduction and Research Background The application of automotive radar sensors in pedestrian recognition systems is particularly important because, compared to other systems such as video cameras, radar sensors … Read more
Abstract: On July 17, 2025, the Center for Strategic and International Studies published a report titled “Air Defense and Missile Defense Networked Perception: The Concept of a Large-Scale Passive Sensor Network.” The research presented in this report proposes the construction of a distributed passive sensor network as a complementary means to active radar detection. The … Read more
![[Translation] Texas Instruments Millimeter Wave Radar SAR Imaging Tutorial](https://boardor.com/wp-content/uploads/2025/11/7388465b-741f-499c-9246-e8b299a2f931.jpg)
This translation is based on the original document released on August 13, 2018, by the University of Texas at Dallas, titled “SAR IMAGING TUTORIAL” (Synthetic Aperture Radar Imaging Tutorial), authored by Muhammet Emin Yanik and Professor Murat Torlak. Thanks to those who laid the groundwork, the author only translates for learning purposes. Table of Contents … Read more
Click the blue text above to follow us Friends, fasten your seatbelts! Today, we won’t discuss gossip, but rather dive into the hardcore and thrilling ultimate showdown of Advanced Driver Assistance System (ADAS) sensors. The three main characters: Camera, LiDAR, and Radar are battling fiercely in the autonomous driving arena. Who is the king? Who … Read more
This article presents a MATLAB code framework for distributed fusion tracking of four targets using a dual radar system based on the Kalman filter, incorporating TDOA/FDOA observation models and distributed fusion logic. The code references methods for multi-target tracking, distributed MIMO radar optimization, and Kalman filter implementation. Code Description Below is an introduction to the … Read more
Related theoretical knowledge and MATLAB simulation results can be found in “Radar Principles” (Issue 10) “Analysis of Coherent and Non-Coherent Accumulation Performance”.Radar Equation MATLAB Simulation Application close all clear all clc fs=600e6;% Sampling rate t=5e-6;% Pulse width f0=2e6;% Carrier frequency Tr=50e-6;% Repetition period t1=30e-6;% Pulse position Nt1=round(fs*t1); Nt=round(fs*t); NTr=round(fs*Tr); tt=0:1/fs:t-1/fs; y0=cos(2*pi*f0.*tt); y=[zeros(1,Nt1),y0,zeros(1,(NTr-Nt1-Nt))]; for k=1:32 y1_n_ind=awgn(y,10,'measured'); … Read more
The increasing intelligence in vehicles is leading to a greater reliance on some technologies that were previously marginalized. The level of autonomy in vehicles is continuously increasing, fundamentally changing the technologies people choose, how they are used, how they interact, and how they will evolve throughout the vehicle’s lifecycle. The entire vehicle architecture is being … Read more