TY - GEN
T1 - The effect of channel models on compressed sensing based UWB channel estimation
AU - Başaran, Mehmet
AU - Erküçük, Serhat
AU - Çirpan, Hakan Ali
PY - 2011
Y1 - 2011
N2 - Ultra-wideband (UWB) multipath channels are assumed to have a sparse structure as the received consecutive pulses arrive with a considerable time delay and can be resolved individually at the receiver. Due to this sparse structure, there has been a significant amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. There are various implementations of the CS theory for the UWB channel estimation based on the assumption that the UWB channels are sparse. However, the sparsity of a UWB channel mainly depends on the channel environment. Motivated by this, in this study we investigate the effect of UWB channel environments on the CS based UWB channel estimation. Particularly, we consider the standardized IEEE 802.15.4a UWB channel models and study the channel estimation performance from a practical implementation point of view. The study shows that while UWB channel models for residential environments (e.g., CM1 and CM2) exhibit a sparse structure yielding a reasonable channel estimation performance, channel models for industrial environments (e.g., CM8) may not be treated as having a sparse structure due to multipaths arriving densely. The results of this study are important as it determines the suitability of different channel models to be used with the CS theory.
AB - Ultra-wideband (UWB) multipath channels are assumed to have a sparse structure as the received consecutive pulses arrive with a considerable time delay and can be resolved individually at the receiver. Due to this sparse structure, there has been a significant amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. There are various implementations of the CS theory for the UWB channel estimation based on the assumption that the UWB channels are sparse. However, the sparsity of a UWB channel mainly depends on the channel environment. Motivated by this, in this study we investigate the effect of UWB channel environments on the CS based UWB channel estimation. Particularly, we consider the standardized IEEE 802.15.4a UWB channel models and study the channel estimation performance from a practical implementation point of view. The study shows that while UWB channel models for residential environments (e.g., CM1 and CM2) exhibit a sparse structure yielding a reasonable channel estimation performance, channel models for industrial environments (e.g., CM8) may not be treated as having a sparse structure due to multipaths arriving densely. The results of this study are important as it determines the suitability of different channel models to be used with the CS theory.
UR - http://www.scopus.com/inward/record.url?scp=82455189549&partnerID=8YFLogxK
U2 - 10.1109/ICUWB.2011.6058867
DO - 10.1109/ICUWB.2011.6058867
M3 - Conference contribution
AN - SCOPUS:82455189549
SN - 9781457717642
T3 - Proceedings - IEEE International Conference on Ultra-Wideband
SP - 375
EP - 379
BT - 2011 IEEE International Conference on Ultra-Wideband, ICUWB 2011
T2 - 2011 IEEE International Conference on Ultra-Wideband, ICUWB 2011
Y2 - 14 September 2011 through 16 September 2011
ER -