Researches on Low Frequency Source Location Based on Partially Adaptive Subarray Focused Beamformer under Finite Sample-Support
We introduce a partially adaptive subarray focused beamformer for measuring the distribution image of ships noise sources in a reduced-dimensional space. When only a small number of snapshots is available for estimating the spatial correlation matrix, reduced-rank solutions provide high performance to common methods. We study the detection performance of the partially adaptive subarray detector compared with the full array detector and a reduced-rank method called Krylov subspace. It is demonstrated, via simulation, that the minimum-variance, partially adaptive subarrays beamformer is a solid approach in small snapshots, low signal-to-noise (SNR) situations. In addition, data of a fiber optic hydrophone array experiment has been used to validate the method.
component focused beamforming fiber-optic hydrophone finite sample subarrays
Ze-min Zhou Xin-wu Zeng Ming Ni
College of Opto-electric Science and Engineering National University of Defense Technology Changsha, China
国际会议
2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)
大连
英文
403-406
2011-07-29（万方平台首次上网日期，不代表论文的发表时间）