Chip Discrimination for UWB Impulse Radio Networks in Multipath Channels
The recent need for increasingly higher data rates and the ability to utilize unused spectrum
has fueled growing interest in UWB from both academia and industry. A variety of
UWB physical layer applications have been proposed and implemented including: highspeed,
short-range indoor wireless personal area networks (WPAN?s), product sensor tags,
and low-power, covert military networks. Much of the UWB literature focuses on the
Impulse Radio (IR) variety which is characterized by the transmission of multiple time dithered,
short duration pulses per data bit. Researchers have consistently studied IR by
making key assumptions to simplify system analysis, namely perfect multi-user power control
and single path of signal arrival.
In the military networks of interest, a variety of line-of-sight (LOS) and non line-ofsight
(NLOS) paths exist between transceivers operating at different power levels. Careful
power control becomes complex when no central node provides service to the entire network
and a small number of high-powered co-located users can quickly degenerate system
performance. We use computer simulation to investigate the system degradation incurred,
in terms of Bit Error Rate (BER), in a multi-user IR network with large near-far power disparity
operating in a multi-user indoor environment.
We then extend the work presented in
 for the multi-user Gaussian channel as a solution to mitigate the effects of high-powered
interferer signals in the IEEE 802.15.3a indoor multipath environment.
Three varieties of RAKE receivers commonly found in literature are investigated: ARAKE,
S-RAKE, and P-RAKE. We introduce a novel chip discriminator located at each
RAKE finger output that selectively removes finger demodulation metrics based on the
product of a constant threshold level Tin and the estimated channel tap coefficient ak. A
multi-user environment is considered where the desired user?s signals pass through the
NLOS channel CM2 and the co-located user?s transmit through the LOS channel CM1.
We quantify the performance of a system employing chip discrimination as well as its sensitivities to system parameters under the assumption of perfect channel estimation and
maximal ratio combining (MRC).
Advisor:Huaiyu Dai; Brian Hughes; J. Keith Townsend
School:North Carolina State University
School Location:USA - North Carolina
Source Type:Master's Thesis
Date of Publication:07/20/2005