In the development process of satellite control systems and solar sensors, conventional solar simulators can‟t show
variations in the solar shape and intensity in the state of solar occultation, so we set up a solar simulation and test
platform. A method is put forward to simulate the wavefront error based on deformable mirror (DM). In this paper, the
main relevant parameters which describe the atmospheric turbulence are introduced. The statistic characteristics of
optical wavefront phase influenced by atmospheric turbulence are presented, and analyzed by the method of Zernike
modes. A piezoelectric DM with 109 electrodes manufactured by OKO is used as the wavefront phase modulator. The
important technology parameter about the deformable mirror is tested. Owing to the linear superposition, we have a
research in the optical influence function and voltage deflection. The method of Karhunen-Loeve function is used in the
simulation of optical wavefront, because it is statistically independent and can be expanded into the form of Zernike
polynomials. We can get the coefficient matrix of random turbulence wavefront, and then link up with surface of the
mirror. According to the relationship between deformation of the mirror and the voltage, we can deduce the voltage
control matrix, and change the surface of the mirror as we conceive. The numerical results indicate that wavefront error
can be introduced to the distribution maps of solar shape and intensity in different orbital position and any tangent point
by DM in the light path.
A new method of pulse signal de-noising based on wavelet transform and coherent averaging method is proposed. Pulse
signal is complex and weak, generally submerged by the interference of baseline drift, motion artifact and high
frequency noise. Consequently, it’s difficult to measure the heart rate by processing only one single-channel pulse signal,
especially when the noise frequency and the pulse signal frequency are in the same frequency range. In this paper, multichannel
pulse signal processing based on wavelet transform and coherent averaging is proposed to solve the above
problem. First, the detail coefficients and approximation coefficients of each channel signal are obtained by N layer
wavelet decomposition, then reconstructing the signal with high layers coefficients as the high frequency noises always
exist in low layers coefficients. In this way we can filter out the high frequency interference. Second, the centerline of
the upper and lower envelope curve obtained by cubic spline estimation is subtracted from each reconstructed signal so
as to eliminate the baseline drift completely. Finally, the heart rate is acquired with the coherent averaging method which
results in the noise being offset each other and the pulse signal being enhanced in the frequency range of pulse wave. The
pulse signal and three kinds of noise signals simulated with the superposition of different frequency sin signal were
analyzed, besides the experiment of six channel pulse signals measured simultaneously based on PhotoPlethysmoGraphy
(PPG) were conducted. The simulation and experiment results showed that this method was superior to the traditional
single channel.
KEYWORDS: Beam splitters, Prisms, Signal processing, Light emitting diodes, Diodes, Data acquisition, Light sources, Modulation, Signal to noise ratio, Photoplethysmography
A new cardiac rate measurement method is proposed. Through the beam splitter prism, the common-path optical system
of transmitting and receiving signals is achieved. By the focusing effect of the lens, the small amplitude motion artifact is
inhibited and the signal-to-noise is improved. The cardiac rate is obtained based on the PhotoPlethysmoGraphy (PPG).
We use LED as the light source and use photoelectric diode as the receiving tube. The LED and the photoelectric diode
are on the different sides of the beam splitter prism and they form the optical system. The signal processing and display
unit is composed by the signal processing circuit, data acquisition device and computer. The light emitted by the
modulated LED is collimated by the lens and irradiates the measurement target through the beam splitter prism. The light
reflected by the target is focused on the receiving tube through the beam splitter prism and another lens. The signal
received by the photoelectric diode is processed by the analog circuit and obtained by the data acquisition device.
Through the filtering and Fast Fourier Transform, the cardiac rate is achieved. We get the real time cardiac rate by the
moving average method. We experiment with 30 volunteers, containing different genders and different ages. We compare
the signals captured by this method to a conventional PPG signal captured concurrently from a finger. The results of the
experiments are all relatively agreeable and the biggest deviation value is about 2bmp.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.