Information-Theoretic Criteria for Bluetooth Signal Detection
DOI:
https://doi.org/10.61952/jlabw.v2i1.480Keywords:
Minimum Description Length, MDL Onset, Transient Detection, RF SignalAbstract
Detecting the onset point of Bluetooth signals is a foundational step in wireless communication analysis and signal processing applications. This study introduces an information-theoretic approach named as Minimum Description Length (MDL) principle as a technique for identifying signal transition point based on statistical complexity. MDL works by splitting the signal into chunks and picking the point where the model description is most tight, as a result getting rid of redundancy. The MDL affords a flexible and decision-making process to detect transformation without making threshold. The technique is introduced in a comparative way with Akaike Information Criterion AIC and examined using real Bluetooth signal dataset, showing its ability to recognize the true signal effectively. The suggested method uses the embedded statistical features of the signal, offering a clear system for device weak-up moment recognition in RF signal processing.
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