Recent content by ramesses

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    De-noising an accelerometer with autoregression

    I'm not sure that I applied correctly the filter. do I have to simulate the process the auto-regression, then subtract the simulation for the original signal. or use the transfer function like that : Y(n) =S(n)*1/(1+Σiαn-iY(n-i)) , where S(n) is the original signal ? Sorry, I'm not very...
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    De-noising an accelerometer with autoregression

    Hi I want to ask about denoising accelerometre with autoregression after filtring high frequency noise. I analysed the noise with Burg method. To denoise the signal, I made a simulation with autoregression and subtracted it from the noised signal. Now, I have a problem. The std of the signale...
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    Meaning of having powerful signal near to 0Hz

    I have a sampling of 30 minutes with my sensor with 100 Hz. and I want to reduce eliminate signal in [25~100] Hz. So what I do is : I apply for each 100 samples a wavelet of second level. I put 0 in details, and reconstruct the signal. Now to see the efficiency, what do I need ? Is the power...
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    Meaning of having powerful signal near to 0Hz

    thank you :) My last question is about band. My sensor frequency is about 100 Hz Why do I have to use 0~50 Hz in fft ? Why not to use 0~100 Hz ?
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    Meaning of having powerful signal near to 0Hz

    Hello I computed, with python scipy.rfft, the Fourier transform of signal coming from an accelerometer. I don't understood what this is the meaning of having a powerful signal near to 0 Hz ?
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    GNS/INS (Inertial Navigation System) integration

    your opinion is very important to me, because I'm not very sure, that I used kalman filter correctly. thank you
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    GNS/INS (Inertial Navigation System) integration

    Hello; the system starts its loop after receiving the initiale position, bearing and speed from the GPS receiver. this loop, presented in the first figure, is used during GPS outage. Now, when a new measure comes from a the GPS receiver, the distance between the GPS and INS positions will be...
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    GNS/INS (Inertial Navigation System) integration

    @berkeman Thank you :) Kalman filter doesn't work until a new GPS's measure comes. unless the Kalman filter can't be used
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    GNS/INS (Inertial Navigation System) integration

    Hi I'm working on a GPS/INS model. Now I developped the mecanization equations for the INS. I have a kalman filter which estimate the error state (position error with respect to north and east). it takes as an input the diffrence between GPS and INS and gives its estimation . I have...
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    Simulating noise with Yuler and Burg

    English is my 3rd language :wink: XN=Σ3i=0Xi*Ci +W1
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    Noise modeling with Markov modeling

    The Gauss-Markov process gives a good result as you see in this picture. Now, I don't understand why I need to use kalman filter in-order to estimate the position's error ? why we don't integrate directly the Gauss-Markov sequence ?
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    Simulating noise with Yuler and Burg

    Hi After removing high frequency white noise in my INS sensor, I want to simulate low frequency noise with Burg or Yuler. I used some functions in python to analyse the recorded data and to get parameters to use. But the the problem is the sequences generated diverge (and take very big...
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    Noise modeling with Markov modeling

    Gauss-Markov process ?
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    Exploring Science and Technology in Algeria: Meet Mohamed, Our Newest Member!

    Hi I'm a new member from Algeria. My name is Mohamed, and I'm interested in physics, mathematics and compter sciences. I hope that I'll be useful be useful in this forum :
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    Noise modeling with Markov modeling

    Hi I'm using accelerometer & horizontal gyroscope in order to replace GPS. Now, I'want to model the noise with first order markov process, to use it in kalman filter. I recorded measurement on all axes and computed auto-correlation. This picture represents auto-correlation on one of axes...
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