Conference Paper

Noise Analysis for a New Digital Beamformer On-Receive-Only

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
DOI: 10.1109/WICOM.2009.5302888 Conference: Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Source: IEEE Xplore

ABSTRACT This paper provides noise analysis for a new kind of digital beamformer on-receive-only which uses pseudorandom spreading sequences as spreading sequence weights. It investigates the noise influence on the magnitude and phase of the array correlation output. Aiming at the corruption of white additive noise, we respectively adapt minimal error probability (MEP) detection to evaluate the array correlation output magnitude and combine maximal likelihood estimation (MLE) with minimum distance decision (MDD) to evaluate the array correlation output phase. From the simulation, we succeed in detecting the magnitude of the array correlation output and estimating its phase within noise environment.

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    ABSTRACT: The book presents an introduction to the theory of statistical estimation embedded in problems of statistical signal processing. The chapters 2 to 9 are devoted to the classical estimation theory, such as minimum variance unbiased estimation, Cramér-Rao lower bound, best linear unbiased estimators, maximum likelihood estimation, linear models, least squares, method of moments. The chapters 10 to 12 are concerned with Bayesian estimation including general Bayesian estimators and linear Bayesian estimators. Kalman filters are treated in chapter 13, and finally extensions for complex data and parameters are given. Besides the presentation of the theoretical background for obtaining optimal estimators and analyzing their performance, the view to implementation of signal processing algorithms on a digital computer is supported. Numerous examples and applications to signal processing problems are helpful. The book is written on an intermediate level. The reader should have a basic knowledge of probability, statistics and digital signal processing. It is well readable and useful for readers interested in the basic estimation theory and its applications in signal processing.Reviewer: H.Schellhaas (Darmstadt)
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    01/1968; Wiley., ISBN: 0471095176
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Oct 9, 2014