Automotive Radar

Radar Tracking: MATLAB Kalman Filter-Based Multi-Target Tracking with Dual Radars and Distributed Fusion (Code Download Link Included)

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Radar Tracking: MATLAB Kalman Filter-Based Multi-Target Tracking with Dual Radars and Distributed Fusion (Code Download Link Included)

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

MATLAB Simulation Code | Performance Simulation of Coherent and Non-Coherent Accumulation

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MATLAB Simulation Code | Performance Simulation of Coherent and Non-Coherent Accumulation

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

Radar, Artificial Intelligence, and Increasing Autonomy Redefining Automotive IC Design

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Radar, Artificial Intelligence, and Increasing Autonomy Redefining Automotive IC Design

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