吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1724-1730.doi: 10.13229/j.cnki.jdxbgxb201505049

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Source detection based on characteristic subspace projection and Bootstrap technique in nonuniform noise

GUO Li-min, FENG Kai   

  1. College of Information and Telecommunication, Harbin Engineering University, Harbin, 150001, China
  • Received:2013-12-16 Online:2015-09-01 Published:2015-09-01

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Abstract: Considering the problem of source number estimation in the presence of unknown spatially nonumiform noise and the limitation of the received data, a now method based on Bootstrap technique and characteristic subspace projection is proposed. The estimation projects covariance matrix estimate of array signal into signal eigen subspace and noise eigen subspace respectively. A sequential hypothesis test is formulated based on characteristic subspace projection. No assumption is made in the distribution of the data and the Bootstrap is used to estimate the distribution under the null of the proposed test statistics. Simulation results show that the proposed method has good performances when the signal power is equal or different and under the condition of space-nonuniform noise environment, especially in the low signal-to-noise ratio and small snapshots.

Key words: information processing technology, source detection, bootstrap technique, characteristic subspace projection, hypothesis

CLC Number: 

  • TN911.23
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