High frequency acoustic channel estimation error analysis during the unet06 demonstrations
Keywords:Acoustic devices, Acoustics, Error analysis, Function evaluation, Underwater acoustics, Acoustic response function, Kalman recursion, Noise variance
AbstractThe development of a computationally efficient high frequency acoustic channel estimator of the channel response function and error analysis during the UNET06 demonstrations was investigated. High frequency broadband channel probe experiments were conducted to characterize the underwater acoustic channel's problems with communications. The doubly spread acoustic channel was estimated from the recorded data sets by an augmented Kalman recursion. The Kalman recursion was augmented by an empirical Bayes approach with a point estimate of the innovation variance to improve estimation of the acoustic response function. The results show that the magnitude of the channel response function and a histogram measure difficulty of response estimation uncertainty relative to ambient noise variance. The results also show that the channel uncertainty is two times adverse to communications than the noise variance.
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