DocumentCode :
2431101
Title :
A novel optimum SINR beamforming in flat fading macrocells
Author :
Sellone, Fabrizio ; Lo Presti, Letizia
Author_Institution :
Dipt. di Elettronica, Politecnico di Torino, Italy
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
149
Lastpage :
154
Abstract :
In the array processing literature several statistically optimum beamformers have been proposed, to cope with the problem of optimal source separation. Optimum signal to interference plus noise power ratio (SINR) beamforming is probably one of the best techniques because it can circumvent most of the drawbacks of other beamforming techniques, but, in many already proposed approaches, the knowledge of the correlation matrices of the desired and the interference signals, is simply assumed. Unfortunately, the estimation might not be easily evaluated in practical scenarios wherein both kind of signals are simultaneously present at the receiver. In this paper we propose a novel direction of arrival (DOA) driven statistically optimum SINR beamformer whose aim is to exploit the inherent structure of the signal space. The beamformer response is optimized in such a way that power contributions of signals belonging to the desired signal subset (DSS) are maximized at the beamformer output, while power contributions of signals belonging to the complementary subset, named the rejected signal subset (RSS) and to the noise are minimized. In addition, a practical way to estimate the correlation matrices of desired and rejected signals is also provided, along with a closed form of the optimum weight vector characterizing the beamformer. This proposed technique yields to a family of SINR optimum beamformers, parameterized by different partitions of the DOA set. Another important feature of our technique is its inherent modularity, that makes it suitable for a parallel hardware implementation, so that real-time applications can be carried out
Keywords :
array signal processing; cellular radio; correlation methods; direction-of-arrival estimation; fading channels; interference suppression; matrix algebra; optimisation; radiofrequency interference; DOA; DSS; RSS; array processing; correlation matrices; desired signal subset; direction of arrival; flat fading macrocells; inherent structure; interference signals; noise; optimal source separation; optimum SINR beamforming; optimum signal to interference plus noise power ratio beamforming; optimum weight vector; rejected signal subset; signal space; Array signal processing; Direction of arrival estimation; Fading; Interference; Macrocell networks; Radar antennas; Sensor arrays; Signal to noise ratio; Source separation; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2002. ICC 2002. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-7400-2
Type :
conf
DOI :
10.1109/ICC.2002.996835
Filename :
996835
Link To Document :
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