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Wireless Multimedia Sensor Networks (WMSN) are designed to transmit audio and video streams, still images and scalar data. Multimedia transmission over wireless sensor network has many killer applications like, video surveillance system, object tracking, telemedicine, theft control system and traffic monitoring. Researchers are facing many challenges such as higher data rate, lower energy consumption,...
MIMO systems provides number of features like spatial diversity, multiplexing gain, and high spectral efficiency gain by keeping the bandwidth expansion or transmission power similar to other systems. The major concern in the system is inter symbol interference (ISI) caused by the channel. An equalizer is deployed on the receiver side to detract the effect of ISI. In this paper, simulation is done...
Signal estimation in MIMO communications typically suffers from performance degradations due to imperfect channel state information (CSI). Traditional robustification schemes rely on assumptions about the model uncertainty and may result in conservative performance. We introduce a rank-reduction approach that enhances the performance in training-based applications. A sequence of reduced-rank channel...
A novel noise whitening technique of blind subspace channel estimations is proposed for cyclic prefixing multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. A fast convergence subspace channel estimation for cyclic prefixed MIMO-OFDM systems was presented in [1] where the repetition index was used to increase the number of equivalent received signals. However,...
The idea we explore in this paper is whether we can use input reconstruction methods for control problems. In input reconstruction problems, the outputs of a dynamical system are known, and the objective is to reconstruct the inputs to the system that caused the measured outputs. Command following problems can be viewed from a similar perspective. The desired outputs of the system are known and the...
This paper considers an interference-aware user selection and resource allocation for uplink multiuser multiple-input multiple-output (MU-MIMO) systems. At the base station (BS), zero-forcing (ZF) with singular value decomposition (SVD) decoupling of spatial streams is deployed. First, two algorithms are developed for mobile stations (MS)s and their corresponding antennas assignment as well as power...
This paper studies the effectiveness of compress-and-forward (CF) relaying scheme for a multiple-input multiple-output (MIMO) Gaussian relay channel with an out-of-band finite-capacity relay-to-destination link in which noises at the relay and destination are correlated due to common sources of interference. This scenario is motivated by the possibility of using device-to-device links for inter-cell...
In many radar applications, including marine, automotive and MIMO, there is a need for orthogonal transmission from different radar sets to mitigate mutual interference; the same applies to the different channels in a MIMO radar. New techniques, belonging to the cyclic algorithm family, might be used to generate orthogonal signals with, in addition, low sidelobes in their autocorrelation function...
Multiple-input-multiple-output (MIMO) technique for visible light communications (VLC) facilitates higher data rate thanks to parallel data transmission. However, full channel-state information (CSI) is a requirement in a MIMO system at all times for successful data recovery, which is a major challenging factor in mobility and shadowing scenarios. In this paper we introduce a novel approach for a...
It is well known that separate coding on each carrier is capacity-achieving in parallel Gaussian multiple-input multiple-output (MIMO) broadcast channels in the sense that the sum rate capacity under a sum power constraint is achievable with separate coding if the noise is independent on each carrier. In this paper, we generalize this statement by proving that the optimality of separate coding also...
A 7 ps/LSB, 0.02 mm2 and 3.9 mW@50MHz Time to Digital Converter architecture with novel MIMO spatial oversampling method is proposed as part of an effort to implement an all-digital PLL (ADPLL) by replacing the phase frequency detector in phase locked loops (PLL). Multiple ring oscillators with unique and variable frequencies are used in order to make N independent measurements of the time pulse to...
Optimal data detection in multiple-input multiple-output (MIMO) communication systems with a large number of antennas at both ends of the wireless link entails prohibitive computational complexity. In order to reduce the computational complexity, a variety of sub-optimal detection algorithms have been proposed in the literature. In this paper, we analyze the optimality of a novel data-detection method...
In this paper, we consider a multi-pair two-way amplify-and-forward relay interference channel, where multiple pairs of full-duplex users exchange information through a full-duplex relay with very large number of antennas, while each user only has two antennas. In order to save the transmission power, four typical power scaling schemes are proposed based on the maximum-ratio combining/maximum-ratio...
The advantages and limitations of coherent multiple-input multiple-output (MIMO) radar have been discussed widely. In practical systems, nonidealities often impose the dominant limitation to system performance. Consequently, successful high-performance systems typically employ adaptive techniques. Because of the higher potential performance of MIMO systems, they become even more sensitive to the system...
This paper introduces a low complexity postprocessing technique allocating spatial streams for uplink transmissions in multiuser (MU) multiple-input multiple-output (MIMO) systems. The scheme is based on zero-forcing (ZF) cancelation of the multiple access interference (MAI) caused by simultaneous transmissions to the access point (AP) equipped with multiple receive antennas from selected users equipped...
The paper deals with a new identification approach, based on a prediction error method, for multivariable errors-in-variables models (EIV). Starting from the ARMAX decomposition of MIMO EIV processes and congruence conditions between noisy sequences and the constraints of EIV representations, the simultaneous estimate of the model parameters and of the noise covariance matrices is obtained. Numerical...
This contribution addresses the blind identification of Multiple Input Multiple Output (MIMO) linear FIR systems having a number of inputs less than the number of outputs. Recent publications have proposed an efficient second order identification method in the Single Input Multiple Output (SIMO) case. Based on a sub-space analysis, it allows a perfect recovery of the system parameters and excitation...
We investigated the basic principle of how spatial signals should be captured with a microphone array to estimate each source signal and its practical implementation. Most conventional studies on array signal processing have been focused on the design of beamforming and Wiener filters. To achieve further effective noise reduction, designing an optimum array structure to segregate a target from other...
The paper discusses the expediency of using MIMO digital systems for transmission of chaotic signals as a way of partial solution of electromagnetic compatibility of perspective broadband communication systems with an existing class of narrow-band radio-technical systems.
This paper opens up an unforeseen and intriguing application area of our recent pioneer work of temporal psychovisual modulation: wireless optical communication. It is demonstrated how a high-speed optoelectronic display functions as a 2D array of optical transmitters and at the same exhibits conventional images as usual. At the receiving end, digital cameras can download data via the optical MIMO...
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