Journal of Jilin University(Engineering and Technology Edition) ›› 2019, Vol. 49 ›› Issue (3): 986-993.doi: 10.13229/j.cnki.jdxbgxb20171207

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Source detection based on coprime array

Lu⁃tao LIU(),Na LI   

  1. College of Information and Telecommunication, HarBin Engineering University, HarBin 150001, China
  • Received:2017-12-11 Online:2019-05-01 Published:2019-07-12

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Abstract:

To solve the problem of source detection in the case that the number of signals is larger than that of physical elements, a new method based on source number estimation of coprime array is proposed. First, the coprime array is used to exploit the degrees of freedom offered by the difference sets. Then, by applying the properties of the coprime array, the unknown parameters are estimated, which are critical to the probability density function of the vectorized outer?product of the array output. Finally, by using the likelihood function and MDL criterion of the parametric probability model, the function of the algorithm is realized. Simulation results show that the proposed method has good performance even at low signal?to?noise ratio when the number of snapshots is large enough.

Key words: information processing technology, coprime array, source detection, minimum description length(MDL) criterion, outer?product

CLC Number: 

  • TN911.23

Fig.1

Co?prime array configuration"

Fig.2

Difference coarray of the co?prime array"

Fig.3

Probabilities of correct detection versus T "

Fig.4

Probabilities of correct detection versus Twhen source number more than sensors number "

Fig.5

Probabilities of correct detection versus T when source number less than sensors number"

Fig.6

Probabilities of correct detection versus D "

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