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- W251315133 abstract "In this chapter, we discuss the direction finding problem of sources emitting or inducing nonstationary signals. The focus is on signals which are uniquely characterized by their instantaneous frequencies. Recognizing the quadratic time-frequency distributions as an effective tool to localize signal power in the time-frequency domain, we present nonstationary array processing in the context of time-frequency signal representations. The spatial time-frequency distribution (STFD) framework is used to re-introduce high-resolution direction-of-arrival estimation methods, in which a matrix of auto- and cross-bilinear distributions of the data observations across the array is used in lieu of the traditional covariance matrix. The high signal-to-noise ratio, achieved by selecting the entire, or part of the source time-frequency signatures, improves subspace and source angle estimations over covariance-based subspace methods. The chapter discusses time-frequency MUSIC, time-frequency maximum likelihood, and time-frequency ESPRIT methods. It also uses the STFD framework for direction finding in multiple-input multiple-output (MIMO) configurations." @default.
- W251315133 created "2016-06-24" @default.
- W251315133 creator A5007661434 @default.
- W251315133 creator A5074195801 @default.
- W251315133 date "2014-01-01" @default.
- W251315133 modified "2023-09-27" @default.
- W251315133 title "DOA Estimation of Nonstationary Signals" @default.
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- W251315133 doi "https://doi.org/10.1016/b978-0-12-411597-2.00017-5" @default.
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