Estimation of Radio Channel Parameters PDF Download
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Author: Andreas Richter
Publisher:
ISBN:
Category :
Languages : en
Pages : 194
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Author: Andreas Richter
Publisher:
ISBN:
Category :
Languages : en
Pages : 194
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Author:
Publisher:
ISBN:
Category :
Languages : sv
Pages :
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Author: Xuefeng Yin
Publisher: John Wiley & Sons
ISBN: 1118188268
Category : Technology & Engineering
Languages : en
Pages : 499
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Book Description
A comprehensive reference giving a thorough explanation of propagation mechanisms, channel characteristics results, measurement approaches and the modelling of channels Thoroughly covering channel characteristics and parameters, this book provides the knowledge needed to design various wireless systems, such as cellular communication systems, RFID and ad hoc wireless communication systems. It gives a detailed introduction to aspects of channels before presenting the novel estimation and modelling techniques which can be used to achieve accurate models. To systematically guide readers through the topic, the book is organised in three distinct parts. The first part covers the fundamentals of the characterization of propagation channels, including the conventional single-input single-output (SISO) propagation channel characterization as well as its extension to multiple-input multiple-output (MIMO) cases. Part two focuses on channel measurements and channel data post-processing. Wideband channel measurements are introduced, including the equipment, technology and advantages and disadvantages of different data acquisition schemes. The channel parameter estimation methods are then presented, which include conventional spectral-based estimation, the specular-path-model based high-resolution method, and the newly derived power spectrum estimation methods. Measurement results are used to compare the performance of the different estimation methods. The third part gives a complete introduction to different modelling approaches. Among them, both scattering theoretical channel modelling and measurement-based channel modelling approaches are detailed. This part also approaches how to utilize these two modelling approaches to investigate wireless channels for conventional cellular systems and some new emerging communication systems. This three-part approach means the book caters for the requirements of the audiences at different levels, including readers needing introductory knowledge, engineers who are looking for more advanced understanding, and expert researchers in wireless system design as a reference. Presents technical explanations, illustrated with examples of the theory in practice Discusses results applied to 4G communication systems and other emerging communication systems, such as relay, CoMP, and vehicle-to-vehicle rapid time-variant channels Can be used as comprehensive tutorial for students or a complete reference for engineers in industry Includes selected illustrations in color Program downloads available for readers Companion website with program downloads for readers and presentation slides and solution manual for instructors Essential reading for Graduate students and researchers interested in the characteristics of propagation channel, or who work in areas related to physical layer architectures, air interfaces, navigation, and wireless sensing
Author: Sana Salous
Publisher: John Wiley & Sons
ISBN: 1118502329
Category : Technology & Engineering
Languages : en
Pages : 423
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Book Description
While there are numerous books describing modern wireless communication systems that contain overviews of radio propagation and radio channel modelling, there are none that contain detailed information on the design, implementation and calibration of radio channel measurement equipment, the planning of experiments and the in depth analysis of measured data. The book would begin with an explanation of the fundamentals of radio wave propagation and progress through a series of topics, including the measurement of radio channel characteristics, radio channel sounders, measurement strategies, data analysis techniques and radio channel modelling. Application of results for the prediction of achievable digital link performance would be discussed with examples pertinent to single carrier, multi-carrier and spread spectrum radio links. This work would address specifics of communications in various different frequency bands for both long range and short range fixed and mobile radio links.
Author: Robert D. Tingley
Publisher:
ISBN:
Category : Adaptive antennas
Languages : en
Pages : 200
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Author: Hirenkumar Gami
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 81
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An idea behind this dissertation is the estimation of signal parameters of a radio channel snapshot. The focal point here to utilize the high resolution estimation capabilities of subspace based methods in association with non-eigenvector based parameter estimation methods to reduce the complexity in wireless system parameter estimation process. The first part of the work is to scrutinize various subspace based parametric estimation methods in well explored array signal processing based wireless communication system problem. These high resolution spectral parameter estimation methods broadly classified in terms of eigenvector based and non-eigenvector based estimation methods. Although providing high resolution and well-known in literature, the eigenvector based spectral parameter estimation methods do not comply requirements of real time signal processing of today's highly complex radio receivers. Therefore, this dissertation is focusing on computationally efficient noneigenvector methods for signal spectral parameter estimation such as Rank Revealing QR factorization, Propagator Method, Accelerated MUSIC, and other triangular factorization methods. The second part of this dissertation concentrate on performance evaluation of these noneigenvector based methods in real world communication system problems. The performance of these methods is demonstrated under three different parameter estimation problems such as multipath time delay estimation in FH-CDMA system, channel estimation problem in MUMIMO system, and joint parameter estimation problem in array signal processing. The role of eigenvector based methods in the spectral parameter estimation is efficiently transformed into non-eigenvector based parameter estimation procedure. This transformation leads to development of computationally efficient algorithms with an enhanced estimation capability.
Author: Javad Mirzaei
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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There are three parts to this thesis. In the first part, we study the channel estimation problem in frequency-selective multi-user (MU) multi-cell massive multiple-input multiple-output (MIMO) systems, where, a time-domain semi-blind channel estimation technique is proposed. Compared to frequency-domain, the time-domain channel estimation requires fewer parameters be estimated. Importantly, the time-domain estimation has enough samples for an accurate channel estimate. Given this many samples in the time-domain, the proposed channel estimation technique obtains a better estimate of the channel. Here, there is no assumption on orthogonality of users' channels, knowledge of large-scale fading coefficients, and the orthogonality between the training symbols of the users in all cells. The second part of the thesis studies the channel estimation problem in correlated massive MIMO systems with a reduced number of radio-frequency (RF) chains. Leveraging the knowledge of channel correlation matrices, we propose to estimate the channel entries in its eigen-domain. Due to the limited number of RF chains, channel estimation is typically performed in multiple time slots. Using the minimum mean squared error (MMSE) criterion, the optimal precoder and combiner in each time slot are aligned to transmitter and receiver eigen-directions, respectively. Meanwhile, the optimal power allocation for each training time slots is obtained via a waterfilling-type expression. In the final part, we study the downlink channel estimation for frequency-division-duplex (FDD) massive MIMO systems. Acquiring downlink channel state information in these systems is challenging due to the large training and feedback overhead. Motivated by the partial reciprocity of uplink and downlink channels, we first estimate the frequency-independent channel parameters, i.e., the path gains, delays, angles-of-arrivals (AoAs) and angles-of-departures (AoDs), via uplink training, since these parameters are common in both uplink and downlink. Then, the frequency-specific channel parameters are estimated via downlink training using a very short training signal. To efficiently estimate the channel parameters in the uplink, the underlying distribution of the channel parameters is incorporated as a prior into our estimation algorithm. This distribution is captured using deep generative models (DGMs). The proposed channel estimation technique significantly outperforms the conventional channel estimation techniques in practical ranges of signal-to-noise ratio (SNR).
Author: Loizos Christofi
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Jianjun Ran
Publisher: Cuvillier Verlag
ISBN: 3867276498
Category :
Languages : en
Pages : 161
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Author: Mofadal Alymani
Publisher:
ISBN:
Category : Deep learning (Machine learning)
Languages : en
Pages : 81
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