Kalman Filter

Recommended Article: Research Findings from Tongji University on ADAS System Fusion Algorithm

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Recommended Article: Research Findings from Tongji University on ADAS System Fusion Algorithm

The research findings “Distributed Robust Kalman Filtering Fusion Algorithm for ADAS System Visual and Millimeter-Wave Radar” were published in the 2024 Issue 5 of Automobile Engineering. To achieve accurate multi-target detection and tracking tasks for Advanced Driver Assistance Systems (ADAS), the paper employs a sensor configuration scheme of one visual sensor and five millimeter-wave radars … Read more

Design of a Drone Altitude Acquisition System Based on DSP

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Abstract: This article introduces the design of a high-precision altitude acquisition system based on DSP and the BMP085 digital barometric pressure sensor for drones, along with the testing and analysis of the actual operational data of the system, achieving altitude measurement and transmission. The focus is on the design and implementation of the software and … Read more

Design of High-Precision Altitude Acquisition System for Drones Based on DSP

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Design of High-Precision Altitude Acquisition System for Drones Based on DSP

Abstract: This article introduces the design of a high-precision altitude acquisition system based on DSP and BMP085 digital barometric sensor for drones, and tests and analyzes the actual operational data of the system to achieve altitude measurement and transmission. The focus is on the design and implementation of the software and hardware at the system … Read more

Lithium Battery Parameter Identification and SOC Estimation Based on ESP Model

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Lithium Battery Parameter Identification and SOC Estimation Based on ESP Model

Source: Power Technology Magazine Abstract An accurate battery model is crucial for electric vehicle battery management systems, as it ensures accurate estimation of the battery’s state of charge (SOC). The electrochemical model is a mechanistic model that describes the internal electrochemical reaction conditions of the battery, and extensive research has been conducted both domestically and … Read more

SOC Estimation Methods for Electric Vehicle Batteries

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The definition of SOC (state of charge) varies widely, but a more unified international definition is based on capacity, representing the remaining capacity of the battery with SOC, which numerically equals the ratio of the remaining capacity Q to the maximum available capacity Qmax. SOC estimation is one of the key technologies in battery management … Read more

Extended Kalman Filter SLAM Path Planning in Matlab

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Extended Kalman Filter SLAM Path Planning in Matlab

Click on the aboveblue text to follow us Blogger’s Note 🔊Blogger Introduction: A graduate student from a 985 university, a researcher in Matlab; 🚅SeatRightInscription:WalkingHundredsLiIs,HalfAtNineTen. ✅Business Scope: Complete Code, Paper Reproduction, Program Customization, Journal Writing, Research Cooperation 🏆 🏫 For more Matlab path planning simulation content, click 👇 Matlab Path Planning (Advanced Version) Preface 📋📋📋 The … Read more

Kalman Filter SLAM Path Planning in Matlab

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Kalman Filter SLAM Path Planning in Matlab

Click the blue text above to follow us Author’s Note 🔊 Author Introduction: Graduate from a top university, researcher and developer in the field of Matlab; 🚅SeatRightInscription:WalkHundredsOf MilesIn HalfOfNineTen. ✅Business Scope: Complete Code, Paper Reproduction, Program Customization, Journal Writing, Research Cooperation 🏆Code Retrieval Method: Matlab Poseidon Code Retrieval Method 🏫 For more Matlab path planning … Read more

One-Dimensional Signal Denoising Based on Kalman Filter (MATLAB)

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One-Dimensional Signal Denoising Based on Kalman Filter (MATLAB)

clear all;load idealECG.mat;fs = 128;N = length(idealECG);t = (0:N-1)/fs; % SNR = 10;n_50 = 0.2 * sin(2 * pi * 50 * t);% nECG = awgn(idealECG,SNR,'measured')+n_50;% % save("nECG.mat","nECG");load nECG.mat; std(nECG-idealECG) std(nECG-idealECG-n_50) figure(1);subplot(2,1,1);plot(t,idealECG);xlim([5,10]);title('ideal ECG'); subplot(2,1,2);plot(t,nECG);xlim([5,10]);title("noisy ECG"); Scaler Kalman filter % Initialize the Kalman filter parametersA = 1; % State transition matrixH = 1; % Observation matrixR … Read more

Quadrotor State Estimation Using IMU and Delayed GPS

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Quadrotor State Estimation Using IMU and Delayed GPS

Click the blue text above to follow us Gift for Readers 👨💻 Scientific research involves a profound system of thought, requiring researchers to be logical, diligent, and serious. However, effort alone is not enough; leveraging resources is often more important. Additionally, one must have innovative and inspirational points to look up to the stars. It … Read more