This paper discusses the migration of a data processing algorithm from a traditional ground processing environment to onboard. This is feasible because of the similar operating system environments provided by Linux and Java. Also, the increasing capability of onboard computational systems allows for the hosting of complex algorithms onboard. The advantage of this approach is a reduction in the downlink data set. With increasing onboard systems capability, higher-order data products can be downlinked, as opposed to raw data.
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.
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