Blind Signal Separation Algorithm for Space-based ADS-B

DOI

10.2991/icmeit-16.2016.41How to use a DOI?

Keywords

ADS-B, Signal Separation, Signal Collision

Abstract

Automatic Dependent Surveillance Broadcast (ADS-B) is a main technology for Air Traffic Management (ATM). As a trend of aerial surveillance, space-based ADS-B uses satellite to receive ADS-B signals to realize aerial surveillance globally. The space-based ADS-B has a series of new features that Terrestrial-based doesn't have including wider coverage, lower SNR, less power difference between signals. These new features make ADS-B signals collisions at the receiver more severe. This paper proposes a model of ADS-B signals collision pattern at the satellite based on poisson process model. This model makes the separation algorithm focus on several collision situations. This paper proposes the iterative projecting algorithm (IPA). IPA uses iteration and projecting algorithm which has less computation complexity and is more suitable for the hardware to perform. Through simulation IPA has similar performance but much lower complexity compared with other ADS-B BSS algorithms in satellite channel.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kai Liu
AU  - Tao Zhang
AU  - Yang Ding
PY  - 2016/08
DA  - 2016/08
TI  - Blind Signal Separation Algorithm for Space-based ADS-B
BT  - Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology
PB  - Atlantis Press
SP  - 214
EP  - 220
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeit-16.2016.41
DO  - 10.2991/icmeit-16.2016.41
ID  - Liu2016/08
ER  -