Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-22T19:49:48.661Z Has data issue: false hasContentIssue false

Verifying a concept of adaptive communication with LEO satellites using SDR-based simulations

Published online by Cambridge University Press:  28 May 2019

S. Kozłowski*
Affiliation:
Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland
K. Kurek
Affiliation:
Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland
J. Skarzyński
Affiliation:
Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland
K. Szczygielska
Affiliation:
Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland
M. Darmetko
Affiliation:
Space Research Centre, Polish Academy of Sciences, Warsaw, Poland
*
Author for correspondence: S. Kozłowski, E-mail: [email protected]

Abstract

The paper is related to an adaptive satellite communication system for data transmission from small, low cost, low Earth orbit satellites. Tests run in a set-up consisting of a number of software-defined radio (SDR) modules operating as a satellite, a ground station, and a satellite channel simulator, have shown that by changing modulation scheme and code rate one can obtain increase of amount of data which can be downloaded from a satellite during a single pass over a ground station approximately by a factor of 2. To determine data rates obtainable in an SDR system using a common personal computer as a digital signal processing device, execution times of particular processing steps involved in the reception process were measured.

Type
MIKON 2018
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Digital Video Broadcasting (DVB) (2005) DVB-S2 adaptive coding and modulation for broadband hybrid satellite dialup applications, ETSI TS 102 441 V1.1.1.Google Scholar
2.IEEE Std 802.11n 2009 Part11 (2009) Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: enhancements for higher throughput, IEEE Standard 802.11n.Google Scholar
3.Sims, WH, Varnavas, K and Eberly, E (2014) High speed low cost telemetry access from space development update on programmable ultra lightweight system adaptable radio (PULSAR). Presented at 28th Annual AIAAA/USU Conference on Small Satellites.Google Scholar
4.Sauer, C, Dickinson, J and Epperly, M (2011) A reconfigurable, radiation tolerant S-Band radio for space use. In Proc. IEEE Aerospace Conf., Montana: Big Sky, pp. 16.Google Scholar
5.Kozłowski, S, Kurek, K, Skarzyński, J, Szczygielska, K and Darmetko, M (2018) Investigation on adaptive satellite communication system performance using SDR technique. 22nd International Microwave and Radar Conference (MIKON), Poznan, Poland, pp. 363366. doi: 10.23919/MIKON.2018.8405226.Google Scholar
6.Skarzynski, J, Darmetko, M, Kozlowski, S and Kurek, K (2016) SDR implementation of the receiver of adaptive communication system. Radio Science 51, 344351. doi: 10.1002/2015RS005899.Google Scholar
7.Digital Video Broadcasting (DVB) (2009) Second generation framing structure, channel coding and modulation systems for Broadcasting, Interactive Services, News Gathering and other broadband satellite applications (DVB-S2), ETSI EN 302 307 V1.2.1.Google Scholar
8.Digital Video Broadcasting (DVB) (1997) Framing structure, channel coding and modulation for 11/12 GHz satellite services. ETSI EN 300 421 V1.1.2.Google Scholar
9.Kozłowski, S (2018) A carrier synchronization algorithm for SDR-based communication with LEO satellites. Radioengineering 27, 299306. doi: 10.13164/re.2018.0299.Google Scholar
10.USRP N210 product details (2018) [Online]. Accessed: Sept. 2018. https://www.ettus.com/product/details/UN210-KITGoogle Scholar
11.NI USRP 2920 product details (2018) [Online]. Accessed: Sept. 2018. http://www.ni.com/pl-pl/support/model.usrp-2920.htmlGoogle Scholar
12.Tseng, S-M, Kuo, Y-C, Ku, Y-C and Hsu, Y-T (2009) Software Viterbi Decoder with SSE4 Parallel Processing Instructions for Software DVB-T Receiver. 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, pp. 102105.Google Scholar
13.De Mesmay, F, Chellappa, S, Franchetti, F and Puschel, M (2010) Computer generation of efficient software Viterbi decoders. High Performance Embedded Architectures and Compilers 5952, 353368.Google Scholar
14.Li, R, Dou, Y, Li, Y and Wang, S (2013) A fully parallel truncated Viterbi decoder for Software Defined Radio on GPUs. 2013 IEEE Wireless Communications and Networking Conference (WCNC), pp. 43054310.Google Scholar
15.Intel Intrinsics Guide (2018). [Online]. Accessed: Sept. 2018. https://software.intel.com/sites/landingpage/IntrinsicsGuide/Google Scholar
16.Intel Support (2018) Frequently asked questions for Enhanced Intel SpeedStep Technology for Intel Processors. [Online]. Accessed: Sept. 2018. https://www.intel.com/content/www/us/en/support/articles/000007073/processors.htmlGoogle Scholar
17.Microsoft Developer Network (MSDN) (2018) [Online]. Accessed: Sept. 2018. https://docs.microsoft.com/pl-pl/windows/desktop/ProcThread/scheduling-prioritiesGoogle Scholar