'Channel estimation' diaporamas de présentation

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [STMicroelectronics proposal for IEEE 802.15.3a Alt PHY ] Date Submitted: [05 May, 2003] Source: [ Philippe Rouzet (Primary) Didier Helal (Secondary) ] Company [ STMicroelectronics ]

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Enhancing Secrecy With Channel Knowledge

Enhancing Secrecy With Channel Knowledge. Presenter: Pang-Chang Lan Advisor: C.-C. (Jay) Kuo May 2, 2014. Outline. Research Problem Statement Introduction to Achievable Rate and Capacity Physical Layer (PHY) Security Some Research Results Conclusions and Future work.

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Implementation Issues for Channel Estimation and Detection Algorithms for W-CDMA

Implementation Issues for Channel Estimation and Detection Algorithms for W-CDMA. Sridhar Rajagopal and Joseph Cavallaro ECE Dept. Contents. Introduction W-CDMA Channel Estimation and Detection DSP Implementation ASIC Implementation Other Current Projects Future Work.

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Practical Performance of MU-MIMO Precoding in Many-Antenna Base Stations

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A Compressed Sensing Based UWB Communication System

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Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Mitubishi Electric Proposal Time-Hopping Impulse Radio Date Submitted: March 3 rd , 2003 Source: Andreas F. Molisch et al., Mitsubishi Electric Research Laboratories

566 views • 30 slides

Digital Signal Processing for Communications and Information Systems (DSP-CIS)

Digital Signal Processing for Communications and Information Systems (DSP-CIS). Marc Moonen Dept. E.E./ESAT, KU Leuven marc.moonen@esat.kuleuven.be www.esat.kuleuven.be / scd /. Chapter-1 : Introduction. Aims/Scope Why study DSP ? DSP in applications: GSM e xample Content

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Implementing Multiuser Channel Estimation and Detection for W-CDMA

Implementing Multiuser Channel Estimation and Detection for W-CDMA. Sridhar Rajagopal, Srikrishna Bhashyam, Joseph R. Cavallaro and Behnaam Aazhang Rice University {sridhar,skrishna,cavallar,aaz}@rice.edu.

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Adaptive Channel Estimator Design for OFDM-Based Wireless Communication Systems

Adaptive Channel Estimator Design for OFDM-Based Wireless Communication Systems. Reporter : Yen-Ming Huang Date : 2012 . 11 . 22 . Outline. Motivation Introduction Interpolation Criterion in Frequency Domain Interpolation Criterion in Time Domain

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Suggestion on PHY Abstraction for Evaluation Methodology

Suggestion on PHY Abstraction for Evaluation Methodology . Date: 2014-03-16. Authors:. Introduction.

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Channel Estimation for W-CDMA on DSPs

Sridhar Rajagopal ECE Dept., Rice University. Channel Estimation for W-CDMA on DSPs. Elec 599. Organization. W-CDMA. DSPs in Wireless Communications. Channel Estimation. Aim of the 599 Project. Implementation Issues and Results. Future Architectures for Wireless systems.

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Maximum-Likelihood Synchronization and Channel Estimation for OFDMA Uplink Transmissions

Maximum-Likelihood Synchronization and Channel Estimation for OFDMA Uplink Transmissions. Chi-En Li Directed by Prof. Jung-Shan Lin Graduate Institute of Communication Engineering National Chi Nan University 12/ 11/ 2008. Outline. System model and signal model CFO estimation

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OFDM PHY Proposal

OFDM PHY Proposal. Date: 2010-05-01. Proposal overview. This presentation is part and is in support of the complete proposal described in 802.11-10/432r0 (slides) and 802.11-10/433r0 (text) that: Supports data transmission rates up to 7 Gbps

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Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: Contribution for CSK R elated Comments Date Submitted: May 2010 Source: Soo -Young Chang, CSUS Address: Contact Information: 530 574 2741 [sychang@ecs.csus.edu] Re :

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11ax Evaluation Mobility

11ax Evaluation Mobility. Authors:. Date: 2019-0 7 - 15. Abstract. In this contribution, we present the preliminary results of 11ax simulations on mobility in Dense Urban eMBB scenario.

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IEEE802.16e-2005 Mobile WiMAX PHY Layer Simulation

IEEE802.16e-2005 Mobile WiMAX PHY Layer Simulation. Prepared by RGS SZR Software Consulting September 2009. Mobile WiMAX PHY Layer Simulation. Fixed WiMAX PHY layer model per IEEE802.16-2004 std was developed in 2008.

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RBIR-based PHY Abstraction with Channel Estimation Error

RBIR-based PHY Abstraction with Channel Estimation Error. Date: 2014-07-xx. Authors:. Introduction. RBIR-based PHY abstraction has been evidently accurate in predicting PER for ideal channel estimation. How to model the channel estimation in PHY abstraction?

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About SINR conversion for PHY Abstraction

About SINR conversion for PHY Abstraction. Authors:. Date : 2013-11-11. Introduction. Effective SINR mapping is proposed for PHY abstraction [1, 2, 3]. The effective SINR mapping, no matter what specific mapping function is adopted, operates in the same procedure.

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Q Matrix Requirement for 1MHz/2MHz detection

Q Matrix Requirement for 1MHz/2MHz detection. Authors:. Date: 2012-07-16. Slide 1. Authors continued:. Slide 2. Authors continued:. Slide 3. Outline.

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1.Multiuser Channel Estimation

Block I. Block II. Block III. Antenna. Matrix Products. Data. Multiuser Detection. Decoder. Block IV. Correlation Matrices (Per Bit). Inverse. Detected Bits. A 0 H A 1 O(K 2 N). Delay. M U X. d. Decision Feedback. Multistage Detection (Per Window). Multiple Users. R br

163 views • 1 slides