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23 S Ries and T Kaiser, Ultra wideband impulse beamforming: it s a different world, Special issue on Signal Processing in UWB Communications , invited paper, Elsevier Science, 2005 (in press) 24 M G di Benedetto, W Hirt, T Kaiser, A Molisch, I Oppermann, and D Porcino, UWB Communication Systems a Comprehensive Overview, EURASIP Book Series, Hindawi Publisher, April 2005 25 R Zetik, J Sachs, and P Peyerl, UWB radar: distance and positioning measurements, Int Conf on Electromagnetics in Advanced Applications, Torino, September 2003 26 E J Bond, X Li, S C Hagness, and B D Van Veen, Microwave imaging via space time beamforming for early detection of breast cancer, IEEE Transactions on Antennas and Propagation, vol 51, no 8, pp 1690 1705, August 2003 27 J Sachs, P Pegerl, P Rauschenbach, F Tkac, M Kmec, and S Crabbe, Integrated digital UWB-radar, AMEREM-2002, Annapolis, MD, p 8, June 2002 28.



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I Willms, J Sachs, and Th Kaiser, Active UWB re detection, 13 Internationale Konferenz ueber Automatische Brandentdeckung, AUBE 04, Duisburg, 14 16 September, 2004 29 A van Zelst, R van Nee, and G Awater, Turbo-BLAST and its performance, Proc IEEE VTC, vol 2, pp 1282 1286, Rhodes, May 2001 30 A Molisch, M Win, and J Winters, Capacity of MIMO systems with antenna selection, Proc IEEE ICC, vol 2, pp 570 574, Helsinki, June 2001 31 A Molisch, J Foerster, and M Pendergrass, Channel models for ultrawideband personal area networks, IEEE Wireless Communications, December 2003, pp 14 21 32 J Kunisch and J Pamp, An ultra-wideband space-variant multipath indoor radio channel model, UWBST, Reston, VA, November 2003 33 S Ries and T Kaiser, Towards beamforming for UWB signals, EUSIPCO, Vienna, 7 10 September 2004 34 S Ries, C Senger, and T.

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Network scenarios for numerical tests. An analytical analysis of the objective function features seems to be extremely difficult. It is governed by antenna characteristics which are hard to parameterise as they are strongly nonlinear; hence, transmitted powers usually cannot be directly presented as analytical functions of antenna parameters. Furthermore, the need for terminal reassignment after a change of antenna orientation complicates the analytical analysis even more. Therefore, it was decided to analyse the objective function numerically for three selected network scenarios. The scenarios are summarised in Table 14.1 and presented in Figures 14.5 and 14.6. The test networks consist of 3 or 6 cells with 140 or 180 active UMTS voice users in total. The propagation loss L is calculated as L = 128 1 + 37 6 log10 d , where d is the terminal distance to the base station (expressed in km). Two base station antennas are used: Celwave APX 206513 (Scenario 1) and Kathrein 742 264 (Scenarios 2 and 3). Base station antenna azimuth and/or antenna down-tilt angle were chosen to be optimised as shown in Table 14.1. Each parameter was assumed to be discrete. Antenna azimuth was adjustable in 15 steps between 28 and +28 , with a resolution of 4 (relative to initial azimuths: 0 , 120 and 240 for Scenario 1 and 20 , 120 , 250 , 100 , 230 and 120 for Scenarios 2 and 3). Antenna tilt was adjusted in 15 equally spaced values ranging from 3 to 17 (resolution 1 ). The whole solution space has thus

Kaiser, UWB beamforming and DoA-estimation, in UWB Communication Systems a Comprehensive Overview, EURASIP Book Series, Hindawi Publisher, 2005 35 C Buchholz and T Kaiser, Is DoA estimation feasible for dense multipath UWB indoor channels , 16th International Conference on Wireless Communications, 12 14, July 2004, Calgary, Canada..

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