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Implementation of an extended kalman filter for accelerometer data

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I have a set of real world accelerometer and GPS (GPS is optional) values that I would like to use to develop a navigation system. I beieve I have to use the commands 'insfilter' and 'trackingEKF' however i am getting difficulty in these working. When using both of these functions i get the error: "Array indices must be positive integers or logical values."
The code I have so far is as follows and regards removing outliers from the data:
close all;
set(0, 'DefaultAxesFontSize', 15)
% Define parameters
D=csvread('test20m3.csv'); %Read CSV file
t=D(:,1); %Define time
XAccRaw=D(:,5); XAcc=XAccRaw*9.81; %Define and convert acceleration in x-axis m/s^2
% Plotting raw acceleration = x-axis
hFig1 = figure(1); %Define first figure
plot(t,XAcc,'b.-','MarkerSize',5); %Plot raw acceleration against time
grid on; %Turn plot grid on
hold on; %Hold the plot
fontsize=15; %Increase font size
title('Raw acceleration against time','FontSize',fontsize); %Title the graph
xlabel('Time (s)','FontSize',fontsize); %Label x-axis
ylabel('Acceleration (m/s^2)','FontSize',fontsize); %Label y-axis
hFig1.WindowState='maximized'; %Enlarge the figure window to full screen
yline(0,'k','LineWidth',1); %Draw a line at y=0
% Removing outliers from data
XoutlierIndexes = isoutlier(XAcc); %Outline accelerometer outliers
plot(t(XoutlierIndexes), XAcc(XoutlierIndexes), 'ro', 'MarkerSize', 15); %Highlight outliers on plot
TX=t(~XoutlierIndexes); %Define good data points w.r.t. time

Answers (1)

Ajay Pattassery
Ajay Pattassery on 27 May 2020

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