DocumentCode :
3490562
Title :
Performance of a Reduced Complexity Algorithm for Diversity Combining
Author :
Lanante, Leonardo A., Jr. ; Marciano, Joel S., Jr.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of the Philippines, Quezon City
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
1000
Lastpage :
1003
Abstract :
The paper introduces a new diversity algorithm that uses real valued weights to reduce the complexity of coherent combining. The approach starts with Selection Diversity but allows any signal branch to contribute to the output by a simple real valued scaling operation. Channel estimation is performed only on the branch with the strongest signal and the rest of the combining weights are then computed directly from the received signals themselves. This simplifies the weight computation and the resulting real-valued weights allows for combining to be performed at the analog or RF/IF stage, reducing the need for multiple receive chains required by digital combining. Simulation results reveal that the performance of the proposed algorithm is just 0.7 dB and 1.6 dB below optimum for 2 and 4 antennas respectively in independent Rayleigh fading channels.
Keywords :
Rayleigh channels; channel estimation; diversity reception; channel estimation; coherent combining; digital combining; diversity combining; independent Rayleigh fading channels; maximal ratio combining; optimal combining; real valued scaling operation; real valued weights; reduced complexity algorithm; selection diversity; signal branch; Analog computers; Channel estimation; Cities and towns; Computational modeling; Diversity reception; Fading; Interference; Radio frequency; Receiving antennas; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.256
Filename :
4340031
Link To Document :
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