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Direction-of-arrival estimation for temporally correlated narrowband signals

Haddadi, F ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1109/TSP.2008.2008220
  3. Publisher: 2009
  4. Abstract:
  5. Signal direction-of-arrival (DOA) estimation using an array of sensors has been the subject of intensive research and development during the last two decades. Efforts have been directed to both, better solutions for the general data model and to develop more realistic models. So far, many authors have assumed the data to be independent and identically distributed (i.i.d.) samples of a multivariate statistical model. Although this assumption reduces the complexity of the model, it may not be true in certain situations where signals show temporal correlation. Some results are available on the temporally correlated signal model in the literature. The temporally correlated stochastic Cramér-Rao bound (CRB) has been calculated and an instrumental variable-based method called IV-SSF is introduced. Also, it has been shown that temporally correlated CRB is lower bounded by the deterministic CRB. In this paper, we show that temporally correlated CRB is also upper bounded by the stochastic i.i.d. CRB. We investigate the effect of temporal correlation of the signals on the best achievable performance. We also show that the IV-SSF method is not efficient and based on an analysis of the CRB, propose a variation in the method which boosts its performance. Simulation results show the improved performance of the proposed method in terms of lower bias and error variance. © 2008 IEEE
  6. Keywords:
  7. Array signal processing ; Cramér - Rao bound (CRB) ; Direction-of-arrival (DOA) estimation ; Temporal correlation ; Direction of arrival ; Estimation ; Multivariant analysis ; Random processes ; Signal processing ; Achievable performance ; Array of sensors ; Correlated signals ; Error variances ; General data models ; Instrumental variables ; Intensive researches ; Multivariate statistical models ; Narrow-band signals ; Realistic models ; Signal directions ; Simulation results ; Radio direction finding systems
  8. Source: IEEE Transactions on Signal Processing ; Volume 57, Issue 2 , 2009 , Pages 600-609 ; 1053587X (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/4663928