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A MSWF root-MUSIC based on Pseudo-noise resampling technique

Johnny, M ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1049/ell2.12220
  3. Publisher: John Wiley and Sons Inc , 2021
  4. Abstract:
  5. This paper uses the shift-invariance property of uniform linear array in root-MUSIC estimator for obtaining signal and noise subspaces by applying multistage Wiener filter (MSWF) procedure. Also, the MSWF root-MUSIC based on the pseudo-noise resampling process for estimating the direction of arrival (DOA) of signals is proposed. By this process, a root estimator bank and a corresponding DOA estimator bank are constructed. Then, a hypothesis test is applied to the DOA estimator bank to detect the normal DOA estimators from abnormal DOA estimators called outliers. By averaging the corresponding root estimators of normal DOA estimators, the final DOAs can be determined more accurately. When all the DOA estimators fail to pass the hypothesis test, the criterion based on the Gaussian weight average of the root estimator bank is introduced. By applying this criterion, better outlier-free performance of MSWF root-MUSIC can be obtained. Simulations show that our method can improve the DOA estimations, especially in small sample sizes and low signal-to-noise ratios. © 2021 The Authors. Electronics Letters published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology
  6. Keywords:
  7. Signal to noise ratio ; Statistics ; Direction of arrival estimators ; Hypothesis tests ; Multi stage Wiener filters ; Normal direction ; Pseudonoise ; Resampling technique ; Root-MUSIC ; Shift-invariance properties ; Signal sub-space ; Uniform linear arrays ; Direction of arrival
  8. Source: Electronics Letters ; Volume 57, Issue 17 , 2021 , Pages 675-678 ; 00135194 (ISSN)
  9. URL: https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/ell2.12220