TY - GEN
T1 - Adaptive beamforming based on nonuniform linear arrays with enhanced degrees of freedom
AU - Yu, Lei
AU - Wei, Yinsheng
AU - Liu, Wei
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/5
Y1 - 2016/1/5
N2 - In traditional adaptive beamforming, the number of degrees of freedom is limited by the number of sensors in the array. In this paper, a new adaptive beamforming scheme is developed based on the nonuniform linear array structure, whose degrees of freedom can be much greater than the number of physical sensors in the array. In the proposed method, the original covariance matrix of the received array data is first processed to obtain a new matrix which has a larger size. Then this augmented covariance matrix is used to calculate the optimum weight vector of the beamformer. Based on the two level nested array, the proposed beamformer can provide O(N2) degrees of freedom by using only O(N) sensors. It can be used to reduce the implementation complexity of a large sensor array, where only a small number of sensors are selected to calculate the equivalent optimal weight coefficients for the original full array. Simulation results are provided to verify the performance improvement of the proposed beamformer.
AB - In traditional adaptive beamforming, the number of degrees of freedom is limited by the number of sensors in the array. In this paper, a new adaptive beamforming scheme is developed based on the nonuniform linear array structure, whose degrees of freedom can be much greater than the number of physical sensors in the array. In the proposed method, the original covariance matrix of the received array data is first processed to obtain a new matrix which has a larger size. Then this augmented covariance matrix is used to calculate the optimum weight vector of the beamformer. Based on the two level nested array, the proposed beamformer can provide O(N2) degrees of freedom by using only O(N) sensors. It can be used to reduce the implementation complexity of a large sensor array, where only a small number of sensors are selected to calculate the equivalent optimal weight coefficients for the original full array. Simulation results are provided to verify the performance improvement of the proposed beamformer.
UR - http://www.scopus.com/inward/record.url?scp=84962170643&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2015.7373099
DO - 10.1109/TENCON.2015.7373099
M3 - Conference article published in proceeding or book
AN - SCOPUS:84962170643
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - TENCON 2015 - 2015 IEEE Region 10 Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE Region 10 Conference, TENCON 2015
Y2 - 1 November 2015 through 4 November 2015
ER -