2011Tance yu kongzhi xuebaoRequires access

A Real Domain Spatial Smoothing Decorrelation Algorithm

Xu Junmin

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Abstract

Eigen-subspace algorithms have to take spatial smoothing to do decorrelation when deal with coherent signals,which always been taken in the complex domain,and one decorrelation operation only can deal with one coherent signal.Based on orthogonal receiver model,this paper took addition and subtraction operations on output of channel I and Q to get real array manifold through triangle formulas,then forward space smoothing was used for decorrelation,and one decorrelation operation could deal with two coherent signals,which took place in real domain.Simulations for this method by MUSIC indicated this method had similar performance of FBSS algorithm,and computational complexity of the method was reduced greatly.

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What this paper is about

Eigen-subspace algorithms have to take spatial smoothing to do decorrelation when deal with coherent signals,which always been taken in the complex domain,and one decorrelation operation only can deal with one coherent signal.Based on orthogonal receiver model,this paper took addition and subtraction operations on output of channel I and Q to get real array manifold through triangle formulas,then forward space smoothing was used for decorrelation,and one decorrelation operation could deal with two coherent signals,which took place in real domain.Simulations for this method by MUSIC indicated this method had similar performance of FBSS algorithm,and computational complexity of the method was reduced greatly.

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Available abstract

Eigen-subspace algorithms have to take spatial smoothing to do decorrelation when deal with coherent signals,which always been taken in the complex domain,and one decorrelation operation only can deal with one coherent signal.Based on orthogonal receiver model,this paper took addition and subtraction operations on output of channel I and Q to get real array manifold through triangle formulas,then forward space smoothing was used for decorrelation,and one decorrelation operation could deal with two coherent signals,which took place in real domain.Simulations for this method by MUSIC indicated this method had similar performance of FBSS algorithm,and computational complexity of the method was reduced greatly.

Key concepts: Decorrelation, Smoothing, Algorithm, Orthogonality, Domain (mathematical analysis), Computer science, Subspace topology, Manifold (fluid mechanics)

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