Ultra-wide band (UWB) communication is expected to play a key role in next generation broadband intra vehicle wireless applications. The car compartment differs significantly from other well studied indoor or outdoor environments. Hence, channel sounding experiments are crucial for gaining a thorough knowledge of the UWB signal propagation characteristics in such a medium. Time domain channel sounding campaigns often employ some sort of deconvolution during measurement post processing as the measured signal in these experiments is the convolution of the channel response and the probing pulse which violates the Nyquist criterion. In this study, a comparison of two variants of time-domain serial subtractive deconvolution algorithm, popularly known as CLEAN, is presented. Appropriate statistical metrics for assessing the relative merit of a deconvolution technique are identified in the context of intra vehicle UWB transmission, and the better algorithm is selected based on its performance over a standard IEEE channel simulation testbed. The chosen method is then applied to extract power delay profile and delay parameters from an empirical time domain sounding experiment performed inside a passenger car. The effects of passenger occupancy, transmitter receiver separation and absence of direct transmission path are studied.
Serial subtractive deconvolution algorithms for time-domain ultra wide band in-vehicle channel sounding
IET Intelligent Transport Systems ; 9 , 9 ; 870-880
2015-11-01
11 pages
Article (Journal)
Electronic Resource
English
passenger car , passenger occupancy effects , on-board communications , power delay profile , delay parameters , CLEAN , statistical analysis , intra vehicle UWB transmission , time-domain analysis , IEEE standards , time-domain ultra wide band in-vehicle channel sounding , transmitter receiver separation effects , time-domain serial subtractive deconvolution algorithm , ultra wideband communication , serial subtractive deconvolution algorithms , empirical time domain sounding experiment , statistical metrics , UWB signal propagation characteristics , automobiles , IEEE channel simulation testbed , direct transmission path absence effects , deconvolution
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