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Optimal Training for Block Transmissions over Doubly Selective Wireless Fading Channels
, 2003
"... High data rates give rise to frequency-selective propagation, while carrier frequency-offsets and mobility-induced Doppler shifts introduce time-selectivity in wireless links. To mitigate the resulting timeand frequency-selective (or doubly-selective) channels, optimal training sequences have been d ..."
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Cited by 93 (3 self)
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High data rates give rise to frequency-selective propagation, while carrier frequency-offsets and mobility-induced Doppler shifts introduce time-selectivity in wireless links. To mitigate the resulting timeand frequency-selective (or doubly-selective) channels, optimal training sequences have been designed only for special cases: Pilot Symbol Assisted Modulation (PSAM) for time-selective channels, and pilot tone assisted OFDM for frequency-selective channels. Relying on a basis expansion channel model, we design in this paper low complexity optimal PSAM for block transmissions over doubly-selective channels. The optimality in designing our PSAM parameters consists of maximizing a tight lower bound on the average channel capacity that is shown to be equivalent to the minimization of the minimum mean-square channel estimation error. Numerical results corroborate our theoretical designs.
Optimal training signals for MIMO OFDM channel estimation
- IEEE Globecom
, 2006
"... Abstract—This paper presents general classes of optimal training signals for estimation of frequency-selective channels in MIMO OFDM systems. Basic properties of the discrete Fourier transform are used to derive the optimal training signals which minimize the channel estimation mean square error. Bo ..."
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Cited by 64 (21 self)
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Abstract—This paper presents general classes of optimal training signals for estimation of frequency-selective channels in MIMO OFDM systems. Basic properties of the discrete Fourier transform are used to derive the optimal training signals which minimize the channel estimation mean square error. Both single and multiple OFDM training symbols are considered. Several optimal pilot tone allocations among the transmit antennas are presented and classified as frequency division multiplexing, time division multiplexing, code division multiplexing in frequencydomain, code division multiplexing in time-domain, and combinations thereof. All existing optimal training signals in the literature are special cases of the presented optimal training signals and our designs can be applied to pilot-only schemes as well as pilot-data multiplexed schemes. Index Terms—Training signal design, Pilot tone allocation,
Pilot Assisted Wireless Transmissions
- IEEE Signal Processing Mag
, 2004
"... The design of pilot assisted wireless transmissions is considered from signal processing and information theoretical perspectives. A general pilot placement model is presented and related figures of merit discussed. A survey of recent pilot assisted transmission theory and techniques is provided. ..."
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Cited by 63 (2 self)
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The design of pilot assisted wireless transmissions is considered from signal processing and information theoretical perspectives. A general pilot placement model is presented and related figures of merit discussed. A survey of recent pilot assisted transmission theory and techniques is provided.
Optimal Insertion of Pilot Symbols for Transmissions over Time-Varying Flat Fading Channels
- IEEE Trans. Signal Processing
, 2003
"... Two major training techniques for wireless channels are time division multiplexed (TDM) training, and superimposed training. For the TDM schemes with regular periodic placements (RPP), the closedform expression for the steady-state minimum mean square error (MMSE) of channel estimate is obtained ..."
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Cited by 59 (4 self)
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Two major training techniques for wireless channels are time division multiplexed (TDM) training, and superimposed training. For the TDM schemes with regular periodic placements (RPP), the closedform expression for the steady-state minimum mean square error (MMSE) of channel estimate is obtained as a function of placement for Gauss-Markov flat fading channels. We then show that, among all periodic placements, the single pilot RPP scheme (RPP-1) minimizes the maximum steady-state channel MMSE.
Optimal Training for MIMO Frequency-Selective Fading Channels
- IEEE Trans. Wireless Commun
, 2002
"... High data rates give rise to frequency-selective channel effects. Space-time multiplexing and/or coding offer attractive means of combating fading, and boosting capacity of multi-antenna communications. As the number of antennas increases, channel estimation becomes challenging because the number of ..."
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Cited by 49 (2 self)
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High data rates give rise to frequency-selective channel effects. Space-time multiplexing and/or coding offer attractive means of combating fading, and boosting capacity of multi-antenna communications. As the number of antennas increases, channel estimation becomes challenging because the number of unknowns increases, and the power is split at the transmitter. In this paper, we design a low complexity optimal training scheme for block transmissions over frequency-selective channels with multiple antennas. The optimality in designing our training schemes consists of maximizing a lower bound on the average capacity that is shown to be equivalent to minimizing the mean-square error of the linear channel estimator. Simulation results confirm our theoretical analysis.
Space-Time Wireless Systems: From Array Processing to MIMO Communications,
, 2006
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Channel Estimation for Space-Time Orthogonal Block Codes
- IEEE Trans. on Signal Processing
, 2002
"... Channel estimation is one of the key components of space-time systems design. The transmission of pilot symbols, referred to as training, is often used to aid channel acquisition. In this paper, a class of generalized training schemes that allow the superposition of training and data symbols is cons ..."
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Cited by 30 (2 self)
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Channel estimation is one of the key components of space-time systems design. The transmission of pilot symbols, referred to as training, is often used to aid channel acquisition. In this paper, a class of generalized training schemes that allow the superposition of training and data symbols is considered. First, the Cramr--Rao lower bound (CRLB) is derived as a function of the power allocation matrices that characterize different training schemes. Then, equivalent training schemes are obtained, and the behavior of the CRLB is analyzed under different power constraints. It is shown that for certain training schemes, superimposing data with training symbols increases CRLB, and concentrating training power reduces CRLB. On the other hand, once the channel is acquired, uniformly superimposed power allocation maximizes the mutual information and, hence, the capacity.
MIMO radar waveform design based on mutual information and minimum mean-square error estimation
- IEEE Transactions on Aerospace and Electronic Systems
, 2007
"... Abstract — This paper addresses the problem of radar waveform design for target identification and classification. Both the ordinary radar with a single transmitter and receiver and the recently proposed multiple-input multiple-output (MIMO) radar are considered. A random target impulse response is ..."
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Cited by 30 (4 self)
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Abstract — This paper addresses the problem of radar waveform design for target identification and classification. Both the ordinary radar with a single transmitter and receiver and the recently proposed multiple-input multiple-output (MIMO) radar are considered. A random target impulse response is used to model the scattering characteristics of the extended (nonpoint) target, and two radar waveform design problems with constraints on waveform power have been investigated. The first one is to design waveforms that maximize the conditional mutual information (MI) between the random target impulse response and the reflected waveforms given the knowledge of transmitted waveforms. The second one is to find transmitted waveforms that minimize the mean-square error (MSE) in estimating the target impulse response. Our analysis indicates that under the same total power constraint, these two criteria lead to the same solution for a matrix which specifies the essential part of the optimum waveform design. The solution employs water-filling to allocate the limited power appropriately. We also present an asymptotic formulation which requires less knowledge of the statistical model of the target. Index Terms — Multiple-input multiple-output (MIMO) radar, radar waveform design, identification, classification, extended radar targets, mutual information (MI), minimum meansquare error (MMSE), waveform diversity. I.
Optimal periodic training signal for frequency offset estimation in frequency-selective fading channels
- IEEE Trans. Commun
, 2006
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Error Probability Minimizing Pilots for OFDM with M-PSK Modulation Over Rayleigh-Fading Channels
- IEEE Trans. Veh. Technol
, 2004
"... Orthogonal frequency division multiplexing (OFDM) with pilot symbol assisted channel estimation is a promising technique for high rate transmissions over wireless frequency-selective fading channels. In this paper, we analyze the symbol error rate (SER) performance of OFDM with-ary phase-shift keyin ..."
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Cited by 20 (0 self)
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Orthogonal frequency division multiplexing (OFDM) with pilot symbol assisted channel estimation is a promising technique for high rate transmissions over wireless frequency-selective fading channels. In this paper, we analyze the symbol error rate (SER) performance of OFDM with-ary phase-shift keying ( -PSK) modulation over Rayleigh-fading channels, in the presence of channel estimation errors. Both least-squares error (LSE) and minimum mean-square error (MMSE) channel estimators are considered. For prescribed power, our analysis not only yields exact SER formulas, but also quantifies the performance loss due to channel estimation errors. We also optimize the number of pilot symbols, the placement of pilot symbols, and the power allocation between pilot and information symbols, to minimize this loss, and thereby minimize SER. Simulations corroborate our SER performance analysis, and numerical results are presented to illustrate our optimal claims.