Multiuser Detection of Collided AIS Packets with Accurate Estimates of Doppler Frequencies
| Autor: | Daichi Hirahara, Kohei Nozaki, Yuwa Takanezawa, Yuyuan Chang, Kazuhiko Fukawa |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Network packet Real-time computing 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Multiuser detection symbols.namesake Single antenna interference cancellation Rician fading 0202 electrical engineering electronic engineering information engineering symbols Bit error rate 020201 artificial intelligence & image processing Detection theory Doppler effect Communication channel |
| Zdroj: | VTC Spring |
| DOI: | 10.1109/vtc2021-spring51267.2021.9448767 |
| Popis: | Initially, the automatic identification system (AIS) aims at ship-to-ship or ship-to-coast wireless communications. To enhance AIS, Japan Aerospace Exploration Agency (JAXA) has conducted an experiment named space based AIS experiment (SPAISE), which enables satellites to observe AIS signals that are transmitted from ships across the open ocean and affected by Doppler shift. This experiment has shown that conventional and simple detection schemes for the satellites cannot always operate well, because the wide coverage of the satellites causes frequent collisions of several AIS signal packets. To cope with such a problem, a multiuser detection scheme such as parallel interference cancellation (PIC) has been used for the signal detection. However, the bit error rate (BER) performance is degraded when channel parameters such as Doppler frequencies are estimated by the correlation between the received signals and the known training sequence. To alleviate the degradation, this paper proposes to employ a highly accurate estimation scheme based on the quasi-Newton method for Doppler frequencies that affect the BER performance most seriously. Computer simulations under Rician fading channel conditions demonstrate that PIC employing the proposed method can improve the BER performance drastically. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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