Blind Signal Separation Algorithm for Space-based ADS-B

Abstract

utomatic 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.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.2991/icmeit-16.2016.41 under the license https://creativecommons.org/licenses/by-nc

• https://download.atlantis-press.com/article/25860439.pdf

• https://www.atlantis-press.com/proceedings/icmeit-16/25860439,

https://academic.microsoft.com/#/detail/2523231360 under the license cc-by-nc