4,412 research outputs found
Symbol-timing estimation in space-time coding systems based on orthogonal training sequences
Space-time coding has received considerable interest recently as a simple transmit diversity technique for improving the capacity and data rate of a channel without bandwidth expansion. Most research in space-time coding, however, assumes that the symbol timing at the receiver is perfectly known. In practice, this has to be estimated with high accuracy. In this paper, a new symbol-timing estimator for space-time coding systems is proposed. It improves the conventional algorithm of Naguib et al. such that accurate timing estimates can be obtained even if the over-sampling ratio is small. Analytical mean-square error (MSE) expressions are derived for the proposed estimator. Simulation and analytical results show that for a modest oversampling ratio (such as Q equal to four), the MSE of the proposed estimator is significantly smaller than that of the conventional algorithm. The effects of the number of transmit and receive antennas, the oversampling ratio, and the length of training sequence on the MSE are also examined. © 2005 IEEE.published_or_final_versio
On the Performance of MRC Receiver with Unknown Timing Mismatch-A Large Scale Analysis
There has been extensive research on large scale multi-user multiple-input
multiple-output (MU-MIMO) systems recently. Researchers have shown that there
are great opportunities in this area, however, there are many obstacles in the
way to achieve full potential of using large number of receive antennas. One of
the main issues, which will be investigated thoroughly in this paper, is timing
asynchrony among signals of different users. Most of the works in the
literature, assume that received signals are perfectly aligned which is not
practical. We show that, neglecting the asynchrony can significantly degrade
the performance of existing designs, particularly maximum ratio combining
(MRC). We quantify the uplink achievable rates obtained by MRC receiver with
perfect channel state information (CSI) and imperfect CSI while the system is
impaired by unknown time delays among received signals. We then use these
results to design new algorithms in order to alleviate the effects of timing
mismatch. We also analyze the performance of introduced receiver design, which
is called MRC-ZF, with perfect and imperfect CSI. For performing MRC-ZF, the
only required information is the distribution of timing mismatch which
circumvents the necessity of time delay acquisition or synchronization. To
verify our analytical results, we present extensive simulation results which
thoroughly investigate the performance of the traditional MRC receiver and the
introduced MRC-ZF receiver
Non-data-aided ML symbol timing estimation in MIMO correlated fading channels
In this paper, the non-data-aided (NDA) maximum likelihood (ML) symbol timing estimator in MIMO correlated channel is derived. It is found that the extended square nonlinearity estimator in [9] is just a special case of the proposed algorithm. Furthermore, the conditional Cramer-Rao bound (CCRB) and the modified Cramer-Rao bound (MCRB) are also established. Simulation results under different operating conditions (e.g., number of antennas and correlation between antennas) are given
to assess the performances of the NDA ML estimator and it is found that the mean square errors (MSE)s of the NDA ML estimator i) are close to the CCRBs, but not the MCRBs; ii) are approximately independent of the number of transmit antennas; iii) are inversely proportional to the number of receive antennas and iv) correlation between antennas has little effect on the SE
performance.published_or_final_versio
Beamforming in MISO Systems: Empirical Results and EVM-based Analysis
We present an analytical, simulation, and experimental-based study of
beamforming Multiple Input Single Output (MISO) systems. We analyze the
performance of beamforming MISO systems taking into account implementation
complexity and effects of imperfect channel estimate, delayed feedback, real
Radio Frequency (RF) hardware, and imperfect timing synchronization. Our
results show that efficient implementation of codebook-based beamforming MISO
systems with good performance is feasible in the presence of channel and
implementation-induced imperfections. As part of our study we develop a
framework for Average Error Vector Magnitude Squared (AEVMS)-based analysis of
beamforming MISO systems which facilitates comparison of analytical,
simulation, and experimental results on the same scale. In addition, AEVMS
allows fair comparison of experimental results obtained from different wireless
testbeds. We derive novel expressions for the AEVMS of beamforming MISO systems
and show how the AEVMS relates to important system characteristics like the
diversity gain, coding gain, and error floor.Comment: Submitted to IEEE Transactions on Wireless Communications, November
200
Channel estimation with TCH codes for machine-type communications
TCH codes possess several properties that allow us to use them efficiently in
various applications. One of these applications is channel estimation and, in this
dissertation, it is studied the performance of TCH codes to estimate the channel in
an Orthogonal Frequency Division Multiplexing system, regarding Machine-Type
Communications. Bit error rate performance results were obtained by executing
simulations that allowed the evaluation of the impact of using two different pilot
techniques, such as data multiplexed and implicit pilots, different pilot power levels
and different modulations, QPSK and 64-QAM. Pilots based on TCH codes are
also compared with other conventional pilots. Results show that TCH codes have
a very positive and reliable performance.
Joint timing synchronization and channel estimation is also performed using different sparse based approaches, such as Orthogonal Matching Pursuit, L1-
regularized and Iterative Reweighted L1. TCH codes are compared against different
sequence types, namely Zadoff-Chu sequences and pseudorandom codewords, and
variations in the pilot size, the channel length and the observation window size are
executed in order to understand their effects. Results ultimately illustrate that
TCH codes can be effectively used in joint channel estimation and synchronization,
managing to withstand worst simulation conditions better than its counterparts.
It is also proven that compressed sensing can successfully be utilized in joint synchronization and channel estimation, an area where its use has not been very
explored.Os códigos TCH possuem várias propriedades que nos permitem usá-los eficientemente em diversas aplicações. Uma delas é a estimação de canal e nesta
dissertação é estudado o desempenho dos códigos TCH em estimação de canal
num sistema OFDM, tendo em conta as comunicações Machine-Type. Resultados que ilustram a taxa de erro de bit foram obtidos através de simulações que
permitem avaliar o impacto de usar diferentes técnicas de pilotos, nomeadamente
multiplexados e implícitos, diferentes valores de potência para os pilotos e diferentes modulações, QPSK e 64-QAM. Também é feita a comparação entre os pilotos
TCH e pilotos convencionais. Os resultados mostram que os pilotos TCH tem um
desempenho muito positivo e confiável, dentro dos parâmetros testados.
Também é efetuado o estudo de sincronização e estimação de canal conjunta
usando métodos esparsos como o OMP, o L1-regularized e o Iterative Reweighted
L1. Os códigos TCH são comparados com outros tipos de sequências, tais como as
sequências Zadoff-Chu e os códigos pseudo-aleatórios. São consideradas variações
no tamanho dos pilotos, no comprimento do canal e no tamanho da janela de
observação para perceber quais são os seus efeitos no desempenho. Os resultados
demonstram que os códigos TCH podem ser utilizados com sucesso em estimação
de canal e sincronização conjunta e conseguem aguentar condições adversas de simulação melhor que os outros pilotos utilizados. Também é provado que compressed
sensing pode ser utilizado com sucesso em sincronização e estimação conjunta, que
é uma área onde o seu uso ainda não foi explorado aprofundadamente
Robust massive MIMO Equilization for mmWave systems with low resolution ADCs
Leveraging the available millimeter wave spectrum will be important for 5G.
In this work, we investigate the performance of digital beamforming with low
resolution ADCs based on link level simulations including channel estimation,
MIMO equalization and channel decoding. We consider the recently agreed 3GPP NR
type 1 OFDM reference signals. The comparison shows sequential DCD outperforms
MMSE-based MIMO equalization both in terms of detection performance and
complexity. We also show that the DCD based algorithm is more robust to channel
estimation errors. In contrast to the common believe we also show that the
complexity of MMSE equalization for a massive MIMO system is not dominated by
the matrix inversion but by the computation of the Gram matrix.Comment: submitted to WCNC 2018 Workshop
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