Multi-source CSI fusion refers to the challenge of combining and harmonizing Channel State Information collected from heterogeneous or multiple signal sources — such as diverse ambient Wi-Fi traffic streams (e.g., video platforms like YouTube or Twitch) alongside or in place of controlled, dedicated probe transmitters like ICMP Ping — to produce coherent, reliable input for sensing tasks. This matters for the field because real-world deployments cannot assume a single, purpose-configured transmitter, meaning sensing systems must contend with signals that differ in packet rate, timing regularity, modulation, and traffic pattern, all of which affect CSI quality and consistency. Key variants of the problem include fusing traffic from multiple concurrent ambient applications, reconciling opportunistic ambient signals with dedicated probes, and developing preprocessing or selection strategies that remain robust across the variable statistical properties introduced by different source types.
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