Channel switching under uncertainty in a combined receiver horizon

ID: channel-switching-under-uncertainty-in-a-combined-receiver-horizon

Channel switching under uncertainty in a combined receiver horizon occurs when uncertainty changes which receiver has the latest accessible input time. For channel , let be its last output time minus its effective input-to-output offset. The combined horizon is , as in receiver-latency uncertainty in the inferred input-time horizon. Away from ties a small perturbation may preserve the maximizing channel; near a tie it need not. Propagating only that channel's variance omits the switching operation.
An original two-channel model makes the effect exact. Suppose and are independent normal random variables with common mean and standard deviation . Independence gives
where is the standard normal distribution cumulative distribution function. This square is already enough to show that is not normal: .
To calculate the resulting bias relative to the common nominal horizon, write . The difference has normal distribution with variance , hence . The sum and difference are independent in this model, giving
For and , the combined mean is about and its standard deviation is about . The formulas concern the uncertainty distribution of the horizon, not a promise of extra observable future illumination. The normal cdf/ppf routines provide direct evaluation of the probabilities.[ref]
Shared clock or calibration errors invalidate the independence product. The distribution of the maximum of correlated receiver horizons must retain the joint timing model; NIST's general uncertainty guidance retains input covariance and requires distributional justification for coverage.[ref] For hard bounds instead, and imply without selecting a fixed winning channel. Neither calculation establishes invertibility of the physical receiver.

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