Using matlab to remove drift from integrated accelerometer data

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Hi all,
I am using the sensors within my phone to generate a CSV file of accelerations in 3-axis (x,y,z). I have now imported the data to matlab using the CSVread funtion and have began processing the data.
I have applied a filter to reduce some of the noise from the signal however upon integration the signal still drifts. The code I am using is shown below, for simplicitys sake I am only showing data from one axis. Any help is appreciated
clear; close; clc;
D=csvread('test20m3.csv');
t=D(:,1); %Define time
XAccRaw=D(:,5); %Define X acceleration
XAcc=XAccRaw*9.81; %Convert to m/s^2
d=designfilt('lowpassfir','filterorder',10,'CutOffFrequency',10,'SampleRate',100); %Lowpass FIR filter
AX=filtfilt(d,XAcc); %Apply filter to data
VX=cumtrapz(t,AX); %Integrate acceleration to get velocity
SX=cumtrapz(t,VX); %Integrate velocity to get displacement
figure(1);
plot(t,SX);
xlabel(Time (s));
ylabel(Displacement (m))

Answers (1)

Rajani Mishra
Rajani Mishra on 16 Apr 2020
To resuce signal drift you can try detrending your signal for that you can use "detrend" function. Also, refer to below given MATLAB answers questions for other ways to reduce the signal drift:
  1. https://www.mathworks.com/matlabcentral/answers/183658-how-to-correct-for-a-drifting-baseline
  2. https://www.mathworks.com/matlabcentral/answers/400944-how-to-correct-the-baseline-shift-of-the-signal
Hope this helps!

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