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SPATIAL SPECTRUM ESTIMATION OF COHERENT SOURCES IMPINGING ON NONUNIFORM ARRAYS
引用本文:路鸣,保铮. SPATIAL SPECTRUM ESTIMATION OF COHERENT SOURCES IMPINGING ON NONUNIFORM ARRAYS[J]. 电子科学学刊(英文版), 1991, 8(3): 193-205. DOI: 10.1007/BF02778371
作者姓名:路鸣  保铮
作者单位:Southeast University Nanjing,Xidian University,Xi'an
摘    要:
The problem of bearing estimation of coherent signal impingiog on an array ofarbitrary geometry is studied.Both approaches are developed,the first one synthesizes theobserved array data into the outputs of a linear uniform array and then processes them viaconventional techniques such as spatial smoothing etc.The second approach is based on theinvariant subspace rotation operation which is equivalent to the translational displacement ofthe artay,linearly independent signal vectors are obtained thereby to span perfectly the signalsubspace.As compared with the conventional processing techniques,the approach based oninvariant subspace rotation does not lead to an effective decrease in aperture size and thereforea decrease in resolution capability.The computer simulations are conducted to demonstrate theeffectiveness of the presented approaches.


Spatial spectrum estimation of coherent sources impinging on nonuniform arrays
Lu Ming,Bao Zheng. Spatial spectrum estimation of coherent sources impinging on nonuniform arrays[J]. Journal of Electronics, 1991, 8(3): 193-205. DOI: 10.1007/BF02778371
Authors:Lu Ming  Bao Zheng
Affiliation:(1) Southeast University, Nanjing;(2) Xidian University, Xi’an
Abstract:
The problem of bearing estimation of coherent signal impingiog on an array of arbitrary geometry is studied.Both approaches are developed,the first one synthesizes the observed array data into the outputs of a linear uniform array and then processes them via conventional techniques such as spatial smoothing etc.The second approach is based on the invariant subspace rotation operation which is equivalent to the translational displacement of the artay,linearly independent signal vectors are obtained thereby to span perfectly the signal subspace.As compared with the conventional processing techniques,the approach based on invariant subspace rotation does not lead to an effective decrease in aperture size and therefore a decrease in resolution capability.The computer simulations are conducted to demonstrate the effectiveness of the presented approaches.
Keywords:Array signal processing  Spatial spectrum estimation  Direction finding  Coherent signals
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