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An orthogonal frequency division multiplexing (OFDM) multiple input multiple output (MIMO) radar at 24GHz is presented in this paper. Waveforms with bandwidth of 625MHz are generated digitally with an arbitrary waveform generator. A six channel RF front-end is used to construct a MIMO system with 2 transmit (Tx) and 4 receive (Rx) antennas. The received signal is sampled with a four-channel oscilloscope...
This paper proposes an online identification of the MIMO ARX-Laguerre model by giving an analytical solution to optimize the Laguerre poles and using recursive identification of Fourier coefficients. Theses parameters characterizing MIMO ARX-Laguerre model are identified basing on the regularised square error. The Laguerre poles optimization and the Fourier coefficients identification procedures are...
Cross-over digital predistorter (CO-DPD) and cross-talk canceling predistorter (CTC-DPD) are two important architectures proposed to overcome the harmful effect of RF cross-talk before the power amplifiers (PA) on digital predistortion (DPD) in multiple antenna transmitters. The computational complexity of CO-DPD increases quadratically with the number of transmit antennas. The CTC-DPD which introduces...
In this article, an adaptive model following control of a nonlinear multi-input multi-output (MIMO) coupled system with unknown parameters is considered. The decoupling matrix of the system is assumed to be singular, so that the system can not be decoupled by static state feedback. A dynamic state feedback with nonlinear structure algorithm is applied to design the controller. An observer is used...
System identification (SI) using small samples is a problem of interest in several applications. However, parameter estimation in these situations is a challenge since classical identification techniques (based on prediction-error methods) are guaranteed to be efficient and consistent only under asymptotic (large sample) conditions. In addition these techniques need the knowledge of delay and order...
Signal estimation and its performance has always remained a challenge for wireless communication society. New techniques were developed for channel diversity and spectrum utilization. In this paper a new estimation approach based on Kalman state stabilization is proposed min-max, to achieve the objective of higher performance in MIMO system, using time variant interference modeling. A generic approach...
The need for high data rate is growing since the multimedia applications are gaining popularity which needs high data rate and quality of service. Multiple Input Multiple Output (MIMO) transmission system is one of the most promising approach of the Smart Antenna Technology which uses multiple antennas in the transmitter and the receiver side and is currently followed for high-rate wireless communication[1]...
In this paper, an efficient approach is proposed to track the double-selected multipath channel for a Multiple-Input-Multiple-Output Orthogonal-Frequency-Division-Multiplexing (MIMO-OFDM) system in the existence of both Gaussian and non-Gaussian noises interfering with reference signals. Using nonlinear complex Multiple Support Vector Machine Regression (M-SVR) methodology, fast-fading multipath channel...
In this paper the impact of exponential correlation model on massive multiple input multiple output (MIMO) channel estimation is analyzed using a large number of antennas in the base station (BS) and a user terminal. We consider pilot-based channel estimation in the UL channel. The Linear minimum mean square error (LMMSE) estimator is used to investigate the effect of correlation factor on the average...
In millimeter-wave massive multiple-input multiple-output systems, to decrease the large training overhead of traditional channel estimation techniques, compressive sensing (CS) is advocated for channel estimation by exploiting the channels' sparse nature. However, existing CS-based channel estimation (CSCE) methods have to deal with a large-size reconstruction problem for sparse channel recovery,...
Massive MIMO systems, where base stations are equipped with hundreds of antennas, are an attractive way to handle the rapid growth of data traffic. As the number of users increases, the initial access and handover in contemporary networks will be flooded by user collisions. In this work, we propose a random access procedure that resolves collisions and also performs timing, channel, and power estimation...
Massive multiple-input multiple-output (MIMO) systems are promising technology to greatly increase the spectral efficiency for the 5G cellular system. However, the implementation is practically a challenge due to the limitation of cost, space, and complexity. Though the millimeter-wave (mm-wave) transmission can greatly save the space for deploying numerous antennas, the demand on the numerous RF...
In this paper, we have proposed an iterative space alternating generalized expectation maximization (SAGE) based semi-blind channel estimation technique for massive multiple-input multiple-output (MIMO) system in multi-cell pilot contamination prone scenario. The benefits of massive MIMO depend largely on the accuracy of channel state information (CSI) available at the base station (Transmitter)....
An optimized relaying method for multi-antennas cooperative networks, estimate-and-forward (EF) strategy for MIMO relay, is proposed and analyzed in this paper. According to our theoretical analysis, it performs like amplify-and-forward (AF) for the low signal noise ratio (SNR) region and behaves like detect-and-forward (DF) for the high SNR region. For the relay networks with a large number of antennas...
In this paper we consider a constant envelope pilot signal based carrier frequency offset (CFO) estimation in massive multiple-input multiple-output (MIMO) systems. The proposed algorithm performs spatial averaging on the periodogram of the received pilots across the base station (BS) antennas. Our study reveals that the proposed algorithm has complexity only linear in (the number of BS antennas)...
In this paper, we propose a new frequency synchronization scheme for multiuser orthogonal frequency division multiplexing (OFDM) uplink with a large-scale uniform linear array (ULA) at base station (BS). Considering that the incident signal at BS from each user can be restricted within a narrow angular spread, the proposed scheme performs carrier frequency offset (CFO) estimation for each user individually...
This paper presents sparse Bayesian learning (SBL)-based estimation schemes for an approximately sparse wireless multipath channel impulse response (MCIR) in a space-time trellis coded (STTC) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. The proposed schemes consider space-time trellis encoding over consecutive OFDM symbols and employ the multiple...
Two new non-data-aided (NDA) signal-to-noise ratio (SNR) estimators for multiple antenna systems are presented. The proposed estimators rely on higher- order moments of the received signal and employ the time-diversity of the fading channel. While one requires a priori knowledge about the number of transmit antennas, the other estimates the SNR without such knowledge. The performance of the proposed...
This paper considers the problem of moving target localization in noncoherent distributed multiple-input multiple-output (MIMO) radar systems by using the bistatic range and range rate measurements. We propose a weighted least squares (WLS) method to estimate the target position and velocity, and then use the semidefinite programming (SDP) method to improve the accuracy of the WLS estimation by relaxing...
In this paper a high performance least square solver is presented which use recursive Cholesky decomposition. Wireless communication systems require solving least square equations in order to obtain taps weights of the FIR filter. It is thus about to develop a fast and efficient algorithm for computation pseudo-inverse matrices. This paper also presents the recursive way to calculate the correlation...
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