Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Linear minimum mean square error"”.
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Moment-linear stochastic systems and their applications
… of discrete-time Markov models, called moment-linear stochastic systems (MLSS), which are structured so that moments and cross-moments of the state variables can be computed efficiently, using linear recursions. We show that MLSS provide a common framework for representing and characterizing …
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MIMO-OFDM Symbol Detection via Echo State Networks
… structure composed of high dimensional nonlinear dynamics and learned readout weights. This thesis considers applying ESN for symbol detection in multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. A new ESN structure, namely, windowed echo state …
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Differential MMSE: A New Approach for Adaptive Interference Suppression Over Time-Varying Channels
The use of the linear minimum mean square error (MMSE) criterion to design coherent adaptive receivers is a classical method for interference suppression, with applications ranging from equalization to adaptive multiuser detection for direct sequence code division multiple access (CDMA) systems. A …
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Guessing Random Additive Noise Decoding in Coded Multiple-Input Multiple-Output Systems
… communication systems incorporate forward error correction (FEC) to achieve high reliability under fading and interference. In this thesis, we explore the emerging FEC paradigm of Guessing Random Additive Noise Decoding (GRAND) in a point-to-point MIMO system. Treating GRAND as an FEC …
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Completely Recursive Least Squares and Its Applications
… matrix-inversion-lemma based recursive least squares (RLS) approach is of a recursive form and free of matrix inversion, and has excellent performance regarding computation and memory in solving the classic least-squares (LS) problem. It is important to generalize RLS for generalized LS (GLS) …
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Effect of Exponential Correlation Model on Spectral and Energy Efficiency for Massive MIMO Systems
… Massive MIMO system model. We used a pilot based linear minimum mean square error (LMMSE) channel estimator for the uplink data transmission. The impact of the channel correlation on the channel estimation accuracy is investigated. Due to having channel reciprocity, the channel state information …
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Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks
… procedure based on the normalized innovation square (NIS), is proposed for the sequential Bayesian estimation problem in this dissertation. In this methodology, each sensor sends only the informative measurements and the fusion center fuses both missing measurements and received ones to yield …
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Performance Appraisal of Estimation Algorithms and Application of Estimation Algorithms to Target Tracking
… focuses on application of the recursive best linear unbiased estimation (BLUE) or lineae minimum mean square error (LMMSE) estimation to nonlinear measurement problem in target tracking. Kalman filter has been the dominant basis for dynamic state filtering for several decades. Beyond Kalman …