A Beamformer Based on Sparse Array with Various Array Structures

The degrees of freedom (DOF) of the adaptive beamformer based on conventional linear array is limited by the number of physical array sensors. One way to enhance the DOF is to choose sparse array, whose DOF is greater than the number of sensors in the array. In this paper, we explore the adaptive beamformer based on sparse array with various sparse array structures. We evaluate the performance of different structures and get some useful conclusions on how to select the structure of sparse array. In addition, we also consider one robust beamforming technique to further improve the performance of sparse arrays. Simulations are provided to compare the results obtained by different strategies.

[1]  Wei Liu,et al.  Adaptive beamforming based on nonuniform linear arrays with enhanced degrees of freedom , 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

[2]  P. P. Vaidyanathan,et al.  Sparse Sensing With Co-Prime Samplers and Arrays , 2011, IEEE Transactions on Signal Processing.

[3]  Arye Nehorai,et al.  Improved Source Number Detection and Direction Estimation With Nested Arrays and ULAs Using Jackknifing , 2013, IEEE Transactions on Signal Processing.

[4]  Wei Liu,et al.  A novel adaptive beamforming technique for large-scale arrays , 2015, 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

[5]  P. P. Vaidyanathan,et al.  Remarks on the Spatial Smoothing Step in Coarray MUSIC , 2015, IEEE Signal Processing Letters.

[6]  A. Moffet.  Minimum-redundancy linear arrays , 1968 .

[7]  Sergiy A. Vorobyov,et al.  Principles of minimum variance robust adaptive beamforming design , 2013, Signal Process..

[8]  P. P. Vaidyanathan,et al.  Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom , 2010, IEEE Transactions on Signal Processing.

[9]  Wen-Zhan Song,et al.  Coprime array adaptive beamforming based on compressive sensing virtual array signal , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[10]  Piya Pal,et al.  An MDL Algorithm for Detecting More Sources Than Sensors Using Outer-Products of Array Output , 2014, IEEE Transactions on Signal Processing.