Performance Analyses of Multiple Antennas Based Sequential Detection for Unknown Signals

Sequential detection is one of the signal detection technique which can reduce the number of required samples for signal detection. However, prior knowledge for target signal power is required in sequential detection. In this study, the performances of multiple antennas based sequential detection for the power of unknown signals are investigated. Numerical examples show the effectiveness of the analytical results.

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Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827774
Primary Topic
Distributed Sensor Networks and Detection Algorithms
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article
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article

Performance Analyses of Multiple Antennas Based Sequential Detection for Unknown Signals

Shusuke Narieda, Masatomo Horie
Distributed Sensor Networks and Detection Algorithms
article

Performance Analyses of Multiple Antennas Based Sequential Detection for Unknown Signals

Shusuke Narieda, Masatomo Horie
article en

Abstract

Sequential detection is one of the signal detection technique which can reduce the number of required samples for signal detection. However, prior knowledge for target signal power is required in sequential detection. In this study, the performances of multiple antennas based sequential detection for the power of unknown signals are investigated. Numerical examples show the effectiveness of the analytical results.

Mie University (JP)
Openalex Percentile: Top 70%
Distributed Sensor Networks and Detection Algorithms
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Performance Analyses of Multiple Antennas Based Sequential Detection for Unknown Signals — Shusuke Narieda, Masatomo Horie · (2024) | TGRS Research Map | TGRS