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Training-aided frequency-domain equalization for coherent receivers based on digital-signal-processing with oversampling factor below 2 samples-per-symbol (sps) is reported. The proposed architecture shows no performance degradation by reducing the oversampling factor from 2 to 1.25 sps.
Direction-of-arrival (DOA) is a research direction in array signal processing. This paper estimates the DOA for Multiple-Input Multiple-Output (MIMO) radar system. The algorithms of multiple signal classification and approximated maximum likelihood (MUSIC-AML) based on linear array are deduced. The number of target sources is also valued in this paper. The results show the feasibility and validity...
In the existing compressive sensing (CS) theory, the accurate reconstruction of an unknown signal lies in the awareness of its sparsifying dictionary. For the estimation of channel parameters in massive multiple-input-multiple-output (MIMO) systems, however, it is impractical to set a fixed sparsifying Fourier dictionary prior due to the continuity of the angles of departure (AoD) for different wireless...
Recently, LTE Release 12 and IEEE 802.11ac adopted 256-quadrature amplitude modulation (QAM) as a tool to accommodate high demand of data throughput in wireless systems. Furthermore, currently developing IEEE 802.11ax considers 1024-QAM to further increase the Wi-Fi throughput. In this paper, we propose low complexity schemes in soft detection of high order QAM symbols in multiple input multiple output...
Pilot reuse (PR) in each cell has been proposed to reduce the pilot overhead and improve the throughput of massive multiple-input multiple-output systems. Since PR can introduce interference into channel estimation, several pilot scheduling schemes have been developed to alleviate this problem. However, current schemes have high computational complexity. In this paper, we try to design a low-complexity...
This paper presents a measurement technique to evaluate the Specific Absorption Rate (SAR) for multi-antenna transmitters such as a mobile phone or the like. Fundamental analysis of SAR formula for the general case of N antennas and experimental validations for the case of three antennas are presented. The key point of the proposed technique is to measure SAR for some different relative phase combinations...
We consider frequency selective channel estimation in the uplink of massive MIMO-OFDM systems, where our major concern is complexity. A low complexity distributed LMMSE algorithm is proposed that attains near optimal channel impulse response (CIR) estimates from noisy observations at receive antenna array. In proposed method, every antenna estimates the CIRs of its neighborhood followed by recursive...
Estimation of channel is a significant issue in wireless communication. In this paper, TS fuzzy Kalman Filter based channel impulse response(CIR) estimation, for the time varying velocity of the receiver in a Multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) system is being proposed. The channel is being modeled using second order auto regressive (AR) random model...
In this paper we present a novel way of jointly estimating the coupling matrix of closely spaced receive antennas as well as the spatial channel of compact MIMO systems. Unlike conventional approaches, we do not assume any knowledge of the types and geometries of the antennas, or their separations, or having line of sight spatial channels. Our algorithm is based only on changing the load impedances...
High Altitude Platform Station (HAPs) is a new communications infrastructure that uses air balloon to carry high data rate service and wide bandwidth. One technique to make it happen is Long Term Evolution (LTE), LTE support capacity increasing, expand coverage area, data rate increasing, low latency, multi-antenna, and can be integrated with other systems. To improve the performance of LTE in capacity...
Recently, an adaptive peak cancellation was proposed to reduce the high peak-to-average power ratio (PAPR), while keeping the out-of-band (OoB) power leakage as well as an in-band distortion power (EVM) below the pre-determined (permissible) level. However, the peak cancellation in MIMO-OFDM systems was not considered. In this paper, we propose a peak cancellation method for linearly pre-coded MIMO-OFDM...
Millimeter wave multiple-input multiple-output (MIMO) systems equipped with large-sized array antennas have a great potential to boost the achievable data rates by leveraging large bandwidth available at the spectrum. In this paper, we focus on the angle of departure (AoD) and angle of arrival (AoA) tracking problem for temporally correlated sparse millimeter wave MIMO channels. With the beam space...
Combining the capacities of multiple-input multiple-output (MIMO) technology in enhancing the achievable data rate and the space time coding in combating the Inter-symbol Interference due to the fading channel, this paper investigates such an issue for MIMO Wireless Underground channels. Moreover the robustness of the Least-Squares (LS) and Minimum Mean Square Error (MMSE) channel estimation methods...
Multichannel space-based SAR systems that exploit receiving antenna sub-arrays displaced in the along track-direction have been shown to provide the capability to detect ground moving targets and potentially estimate their radial motion velocity, thus making possible their correct relocation inside the SAR image of the background. However, the use of only two receiving channels to contain cost, mass...
The biggest bottleneck of Linear Parameter Varying (LPV) subspace identification methods is the unavoidable over-parametrization in its first, rank-revealing estimation step. This motivated us to look at less superfluous parametrizations for Linear Time Invariant (LTI) subspace methods which have the potential to be extended to the LPV case. In this paper, we propose a method based on tensor regression...
In this work, a novel adaptive reduced-rank (R-R) algorithm for large-scale multiuser multiple-input multiple-output (MIMO) systems is presented. The proposed algorithm is based on the joint iterative optimization of filter employing the minimization of the bit error rate (BER) criterion using the generalized Gaussian kernel density estimation. The generalized Gaussian kernel density estimation method...
Channel estimate plays an important role in wireless communications. However, channel tracking has to be considered in the fast time-varying channel. The Bayesian filtering provides an efficient method to capture the dynamics of time varying variables. In this paper, the Bayesian filtering framework is utilized to unveil the error propagation of time-variant channel tracking of MIMO systems. Firstly,...
A critical step in the control design of industrial processes is the Control Configuration Selection (CCS), where each actuator is grouped with a set of measurements to be used in the computation of its control action.
This paper deals with virtual reference feedback tuning (VRFT) for MIMO plants by one of the prediction based system identification (PBSID) methods. Since VRFT designs a feedback controller that minimizes the difference between the closed-loop system and the reference model, the optimized PBSID method, which minimizes the least squares of the prediction error, can be employed to estimate a full parameterization...
We consider a decentralized multisensor estimation problem where L sensor nodes observe noisy versions of a possibly correlated random source. The sensors amplify and forward their observations over a fading coherent multiple access channel (MAC) to a fusion center (FC). The FC is equipped with a large array of N antennas, and adopts a minimum mean square error (MMSE) approach for estimating the source...
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