Design and performance evaluation of a full-duplex operating receiver for time-hopping UWB
Mobile Networks and Applications
Low-complexity ML timing acquisition for UWB communications in dense multipath channels
IEEE Transactions on Wireless Communications
Frame-frequency estimation in ultrawideband systems
IEEE Transactions on Wireless Communications
Decision directed autocorrelation receivers for pulsed ultra-wideband systems
IEEE Transactions on Wireless Communications
On UWB Impulse Radio Receivers Derived by Modeling MAI as a Gaussian Mixture Process
IEEE Transactions on Wireless Communications
A low-complexity receiver for impulse radio based upon a gaussian mixture interference model
IEEE Transactions on Wireless Communications - Part 1
Ultra-wideband radio technology: potential and challenges ahead
IEEE Communications Magazine
Acquisition of direct-sequence transmitted reference ultra-wideband signals
IEEE Journal on Selected Areas in Communications - Part 1
Two-stage acquisition for UWB in dense multipath
IEEE Journal on Selected Areas in Communications - Part 1
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We propose two new receiver architectures for a ultra wide band (UWB) system based on the IEEE 802.15.4a standard. The design objective is robustness against strong multiple access interference (MAI). The first proposed structure models MAI as an additive white Gaussian noise (AWGN) whose power is estimated at each frame, rather than on average, in such a way to take account of the impulsive nature of interference. The second approach aims at jointly optimizing demodulation and decoding, and, in this case, MAI is modeled as a generalized Gaussian mixture process. In both cases, the maximum likelihood receiver is derived. Numerical results in a IEEE 802.15.4a scenario show that the AWGN receiver with local power estimate provides a performance comparable to the best existing techniques, while requiring a much lower computational complexity. The joint optimization of demodulation and decoding provides a further gain, especially at low packet error rates, at the cost of an additional signal processing effort. Still, low complexity solutions holding the performance gap are identified in this latter class.