MIMO-OFDM Channel Estimation For Correlated Fading Channels
White Papers This paper presents MIMO-OFDM channel estimation for spatially correlated channels using frequency domain estimation techniques. This has the advantage of improving the performance of the channel estimation in frequency domain.
[August 7, 2007, 0:00]
Optimal Training Sequences For Channel Estimation In MIMO OFDM Systems In Mobile Wireless Channels
White Papers This paper describes a channel estimation and tracking scheme for MIMO OFDM systems based on pilot tones. The mean square error of the proposed scheme is derived, and through this optimal training sequences and placement of the pilot tones is derived.
[July 26, 2005, 0:00]
Joint Dynamic Detection And Channel Estimation In MIMO OFDM Systems
White Papers MIMO OFDM is one of the most promising techniques to achieve high data rate over mobile wireless channels. In this paper, a MIMO OFDM system is developed, which employ interleaver at the transmitter to implement frequency domain diversity.
[September 17, 2007, 0:00]
A Joint Channel And Channel Length Estimation Algorithm For MIMO-OFDM
White Papers The recent interest in coherently detected MIMO-OFDM systems has fueled research efforts on various channel estimation methods. This necessary but often overlooked component of channel estimation is crucial to accurate channel estimates in many...
[July 26, 2005, 0:00]
Combined Frequency And Time Domain Channel Estimation In Mobile MIMO-OFDM Systems
White Papers This paper proposes a combined frequency and time domain channel estimation method for MIMO OFDM systems. Initial channel estimation is performed by first estimating the channel response in frequency domain, exploiting a set of dedicated pilot...
[August 10, 2007, 0:00]
Blind Channel Estimation In MIMO OFDM Systems
White Papers Multiantenna wireless systems have shown great promise in achieving high rates. This paper considers an OFDM multiple transmit/receive antenna system. The paper proposes a linear non-redundant block precoding scheme, that is applied at the input of...
[March 30, 2005, 0:00]
Optimal Training Signals For MIMO OFDM Channel Estimation In The Presence Of Frequency Offset And Phase Noise
White Papers The authors develop robust Mean-Square Error (MSE)-optimal training signal designs for multiple-input multiple-output orthogonal frequency-division multiplexing channel estimation with frequency offset and Phase Noise (PN), and present analytical...
[April 13, 2007, 0:00]
Blind Carrier Frequency Offset Estimation In SISO, MIMO, And Multiuser OFDM Systems
White Papers The paper shows that this approach can be applied to blind CFO estimation in multi-input multi-output and multiuser OFDM systems. Relying on a kurtosis-type criterion, a low-complexity blind carrier frequency offset (CFO) estimator is developed for...
[March 30, 2005, 0:00]
Channel Estimation For OFDM Systems With Multiple Transmit Antennas By Exploiting The Properties Of The Discrete Fourier Transform
White Papers This paper addresses channel estimation based on the discrete Fourier transform (DFT) applied to OFDM-based MIMO systems. By exploiting the properties of the DFT, channel estimation schemes for MIMO-OFDM system can be simplified.
[July 26, 2005, 0:00]
Optimal Training Design For MIMO OFDM Systems In Mobile Wireless Channels
White Papers This paper describes a least squares (LS) channel estimation scheme for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems based on pilot tones. To reduce the training overhead, an LS channel estimation...
[October 31, 2004, 23:00]
Layered Turbo Space-Time Coded MIMO-OFDM Systems For Time Varying Channels
White Papers A joint detection-estimation scheme is proposed in this paper for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The iterative scheme proposed for the receiver integrates in one scheme turbo decoding...
[March 30, 2005, 0:00]
Compress-and-Forward Cooperative Relaying In MIMO-OFDM Systems
White Papers This paper extends this Wyner-Ziv bound to MIMO-OFDM, by applying results from Bayesian vector estimation and rate-distortion coding theory. In the evaluation it considers MIMO-OFDM transmission. This paper investigates the capacity of Compress-and...
[April 11, 2008, 0:00]
Broadband MIMO-OFDM Wireless Communications
White Papers This paper explores various physical layer research challenges in MIMO-OFDM system design, including physical channel measurements and modeling, analog beam forming techniques using adaptive antenna arrays, space-time techniques for MIMO-OFDM...
[November 1, 2004, 23:00]
Optimal Linear Pre-Coder And Power Allocation For MIMO-OFDM Systems With Partial And Imperfect Channel Knowledge
White Papers Multiple input multiple output (MIMO) systems provide dramatic capacity gain through an increased spatial dimension. Thus, to improve MIMO system performance, CSI at the transmitter (CSIT) and receiver (CSIR) should be used efficiently.
[March 30, 2005, 0:00]
Real-Time Concepts For MIMO-OFDM
White Papers This paper presents a concept for implementing MIMO-OFDM in real time on a hybrid FPGA/DSP software-radio platform. A new preamble is defined for the channel estimation, to identify the transmit antennas at each receiver, using a code-multiplex...
[August 2, 2007, 0:00]
Influence And Suppression Of Phase Noise In Multi-Antenna OFDM
White Papers The influence of phase noise (PN) on the performance of a multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) based communication system is analyzed. As part of this analysis, an estimator for the common phase...
[November 1, 2004, 23:00]
Improved Space-Time Coding For MIMO-OFDM Wireless Communications
White Papers A 256-state code is shown to perform within 3 dB of outage capacity (and within 2 dB with perfect channel estimation), which is better than any other published result without using iterative decoding.
[October 21, 2004, 0:00]
Receiver Implementation For A MIMO OFDM System
White Papers Tasks performed by the receiver are synchronization in time and frequency domains, followed by channel estimation and noise variance estimation. This paper presents preamble and receiver design for a Q transmit L receive multi input multi output...
[July 26, 2005, 0:00]
