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A NEW ARRAY GEOMETRY FOR DOA ESTIMATION WITH ENHANCED DEGREES OF FREEDOM

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Citation Author(s):
Minglei Yang
Minglei Yang, Alexander M. Haimovich, Baixiao Chen,Xin Yuan
Submitted by:
Minglei Yang
Last updated:
19 March 2016 - 10:53am
Document Type:
Poster
Document Year:
2016
Event:
ICASSP 2016
Presenters:
Minglei Yang
Categories:
Sensor Array Processing
 

This work presents a new array geometry, which is capable of providing $O(M^2N^2)$ degrees of freedom (DOF) using only $MN$ physical sensors via utilizing the second-order statistics of the received data. This new array is composed of multiple, identical minimum redundancy subarrays, whose positions follow a minimum redundancy configuration. Thus the new array is a minimum redundancy array (MRA) of MRA subarrays, and is termed {\em nested MRA}. The sensor positions, aperture length, and the number of DOF of the new array can be predicted if these parameters of MRA subarrays are given. Numerical simulations demonstrate the superiorities of the proposed array geometry in resolving more sources than sensors and DOA estimation.

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