DocumentCode :
417819
Title :
Capacity-maximizing resource allocation for data-aided timing and channel estimation in ultra-wideband radios
Author :
Wu, Lin ; Tian, Zhi
Author_Institution :
Dept of Electr. & Comput. Eng.,, Michigan Technol. Univ., Houghton, MI, USA
Volume :
4
fYear :
2004
fDate :
17-21 May 2004
Abstract :
The overall system performance of data-aided ultra-wideband (UWB) communications relies critically on the accuracy of synchronization and channel estimation during the training phase. The total transmission resources should be properly allocated between training and information symbols in order to strike a desired balance between performance and information rate. To this end, this paper derives optimum transmission schemes that judiciously allocate the limited transmit power and pulse numbers for signal reception tasks performing optimal timing acquisition, channel estimation, as well as symbol detection. The resulting selection of transmitter parameters not only enables both the timing and channel estimators to attain the minimum mean-square estimation errors, but also maximizes the average system capacity.
Keywords :
bandwidth allocation; broadband networks; channel capacity; channel estimation; data communication; digital radio; indoor radio; least mean squares methods; optimisation; power control; signal detection; synchronisation; capacity-maximizing resource allocation; channel estimation; data-aided timing; information symbols; minimum mean-square estimation errors; optimal timing acquisition; optimum transmission schemes; performance; pulse numbers; signal reception; symbol detection; synchronization; system performance; training symbols; transmit power allocation; transmitter parameters; ultra-wideband radios; Channel estimation; Communication industry; Estimation error; Information rates; Pulse amplifiers; Radio transmitters; Resource management; System performance; Timing; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326879
Filename :
1326879
Link To Document :
بازگشت