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Covariance matrix denoising based direction of arrive estimation for spherical array with atomic norm minimization
- Source :
- 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- A covariance matrix denoising based Direction-of-arrive (DOA) estimation approach for spherical array is developed in this paper. Firstly, based on the spherical phase mode transformation, a spherical harmonic (SH) domain covariance matrix model of the spherical array is presented as multiple measurement vectors, where the atomic norm minimization approach is extended to SH domain and is applied for covariance matrix denoising. Then the spherical ESPRIT method is used to DOA estimation. Unlike the conventional approaches, the proposed method not only requires no prior knowledge of the noise statistic property, but also has the capability of dealing with the coherent signals. Simulations show the out performance of out method compared with the conventional ones.
- Subjects :
- Computer science
Covariance matrix
Noise reduction
Phase (waves)
Spherical harmonics
020206 networking & telecommunications
02 engineering and technology
01 natural sciences
Domain (mathematical analysis)
Harmonic analysis
Noise
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Spherical array
010301 acoustics
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
- Accession number :
- edsair.doi...........ea6a0c0b007a4657e5d34d80d4f62d50