An X-band spacecraft transponder for deep space applications-design concepts and breadboard performance

1992 ◽  
Vol 40 (6) ◽  
pp. 1192-1198 ◽  
Author(s):  
N.R. Mysoor ◽  
J.D. Perret ◽  
A.W. Kermode
2021 ◽  
Author(s):  
Orlando Francois Gonzales Palacios ◽  
Ricardo Erick Diaz Vargas ◽  
Patrick H. Stakem ◽  
Carlos Enrique Arellano Ramirez

This paper presents the design and simulation of a Koch curve fractal antenna, developed according to the second iteration of the Koch snowflake fractal for S-band, C-band, X-band and Ku-band. The simulated antenna shows good performance for the operating frequencies and desirable gain, bandwidth and VSWR parameters. Being a compact antenna, it has a size, geometry and characteristics that go in accord with the CubeSat’s structure standards. The antenna was fabricated on a 1.5 mm thick FR-4 substrate. The VSWR achieved values are lower than 1.4 for the frequencies used (2.1 GHz to 2.4 GHz and 7.4 GHz to 8.9 GHz) with a simulated omnidirectional radiation pattern. A maximum gain of 6.8 dBi was achieved. As this antenna works optimally in the S, C and X bands, it is adequate for deep space applications, especially in low-power consumption systems. This approach would be ideal for constellations of Cubesat explorers.


2007 ◽  
Vol 95 (11) ◽  
pp. 2142-2156 ◽  
Author(s):  
Kenneth S. Andrews ◽  
Dariush Divsalar ◽  
Sam Dolinar ◽  
Jon Hamkins ◽  
Christopher R. Jones ◽  
...  

Author(s):  
P. Praveena

<p>Present emerging trend in space science applications is to explore and utilize the deep space. Image coding in deep space communications play vital role in deep space missions. Lossless image compression has been recommended for space science exploration missions to retain the quality of image. On-board memory and bandwidth requirement is reduced by image compression. Programmable logic like field programmable gate array (FPGA) offers an attractive solution for performance and flexibility required by real time image compression algorithms. The powerful feature of FPGA is parallel processing which allows the data to process quicker than microprocessor implementation. This paper elaborates on implementing low complexity lossless image compression algorithm coder on FPGA with minimum utilization of onboard resources for deep space applications.</p>


2020 ◽  
Vol 68 (2) ◽  
pp. 727-735 ◽  
Author(s):  
Nacer Chahat ◽  
Jonathan Sauder ◽  
Matthew Mitchell ◽  
Neal Beidleman ◽  
Gregg Freebury

2005 ◽  
Author(s):  
C. Bosswetter ◽  
A.P. Wolframm ◽  
J-M. Hermer ◽  
O. Oudot ◽  
J.L. Perrot ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document