Canned Telemetry System for Sensor Data on Parachute Systems

Author(s):  
Jason Swain ◽  
Alan Hart
Keyword(s):  
2010 ◽  
Vol 2 (2) ◽  
Author(s):  
Wahyu Widada

In the rocket launch campaign, the telemetry system is very important system in order to send various data from the sensor to the base-station. However the signal of telemetry is not usually in good condition, and the data is very dificult to analyze. In this paper described the method to backup the sensor data by use of flight-recorder. It was very useful if the recovery of payload was successful, and the data flight can be analyze. The system used 2 wire serial eeprom with 131.071 byte of memory and 6 input for analog channels. The speed recording was 10 ms or 100 data per second.


2021 ◽  
Author(s):  
F. L. Mutho’Affifah ◽  
S. T. Puruhita ◽  
M. N. Adiba ◽  
N. F. Rohmah ◽  
E. D. Arisandi

2009 ◽  
Author(s):  
Bradley M. Davis ◽  
Woodrow W. Winchester ◽  
Jason D. Zedlitz
Keyword(s):  

2018 ◽  
Vol 18 (1) ◽  
pp. 20-32 ◽  
Author(s):  
Jong-Min Kim ◽  
Jaiwook Baik

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  

2011 ◽  
Vol 131 (4) ◽  
pp. 288-294 ◽  
Author(s):  
Tatsuya Furukawa ◽  
Keita Akagi ◽  
Hisao Fukumoto ◽  
Hideaki Itoh ◽  
Hiroshi Wakuya ◽  
...  

2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR


Author(s):  
I.P. Zaikin ◽  
◽  
K.V. Kempf ◽  
D.V. Shkarin ◽  
◽  
...  
Keyword(s):  

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