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Featured researches published by G. Auer.


international symposium on spread spectrum techniques and applications | 1998

Mobile channel estimation for decision directed RAKE receivers operating in fast fading radio channels

G. Auer; G.J.R. Povey; David I. Laurenson

The authors describe a robust channel prediction technique for a direct sequence spread spectrum (DS-SS) system in a fast fading environment. For improved performance the RAKE filter taps are coherently combined, hence accurate channel estimation is required. An FIR type linear prediction filter for each RAKE filter tap is used to estimate the channel response. In order to do this, the data decisions are fed back to the prediction filter. The stability of the proposed system is achieved through differential encoding of the data bits. It is demonstrated through simulations that the performance of the proposed decision directed receiver is better than that of an idealised receiver where channel estimation is not corrupted by decision feedback errors (e.g. by means of employing a pilot signal). The channel estimate can be significantly improved by employing a second stage channel estimation filter.


international symposium on spread spectrum techniques and applications | 1998

Per-survivor processing applied to decision directed channel estimation for a coherent diversity receiver

G. Auer; G.J.R. Povey; David I. Laurenson

The problem of coherent detection for a diversity receiver to combat the severe penalty of transmitting over a Rayleigh fast fading channel is addressed. The principle of per-survivor processing is employed to estimate the channel response for BPSK modulated signals. To achieve this, a symbol aided plus decision directed transmission scheme is used. Simulation results demonstrate that the proposed algorithm can track the fading fluctuations.


vehicular technology conference | 1999

Hybrid filtering for per-survivor processing in flat fading channels

G. Auer; G.J.R. Povey; David I. Laurenson

Receiver designs for maximum likelihood sequence estimation (MLSE) of BPSK modulated signals transmitted through a flat fading channel are described. This results in a receiver which jointly estimates the channel impulse response and detects the received data sequence. The receiver uses data as well as pilot symbols, embedded in the Viterbi algorithm (VA), referred to as per-survivor processing (PSP). It is demonstrated through simulations that the performance of PSP is very sensitive to the choice of the channel estimation filter. PSP employing a FIR filter to estimate the channel impulse response (CIR) is well examined for fast fading conditions. For modest fading rates however, stability problems due to pilot aided channel estimation occur. When channel estimation is performed using an IIR filter, the receiver shows superior performance for slow fading, while it is not suitable for fast fading. In this paper a hybrid realisation of PSP is proposed, using both a FIR and IIR filter, yielding a receiver suitable for slow and fast fading channels.


Archive | 2007

Decentralized Interference Avoidance Using Busy Bursts

Alexander Tyrrell; Harald Haas; G. Auer; Peter Omiyi


Electronics Letters | 1998

Robust channel prediction technique for decision directed RAKE receivers

G. Auer; G.J.R. Povey; David I. Laurenson


Archive | 2009

IEEE Broadband Wireless Access Workshop

Zubin Bharucha; Harald Haas; G. Auer; Ivan Cosovic


Adaptive Signal Processing for Mobile Communication Systems (Ref. No. 1997/383), IEE Colloquium on | 1997

Adaptive mobile channel prediction for decision directed RAKE receivers

G. Auer; G.J.R. Povey; David I. Laurenson


Archive | 2013

Downlink Power Control Minimizing Base Station Energy Consumption

Hauke Holtkamp; G. Auer; Docomo Euro-Labs; Harald Haas


Archive | 2009

Proceedings of IEEE International Sarnoff Symposium

G. Auer; Stefan Videv; Birendra Ghimire; Harald Haas


Archive | 2009

Proc. of the International Conference on Communications (ICC'09)

Sinan Sinanovic; Harald Burchardt; Nikola Serafimovski; G. Auer; Harald Haas

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G.J.R. Povey

University of Edinburgh

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Stefan Videv

Jacobs University Bremen

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