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This paper deals with the problem of multibeam satellite pre-coding design under spectrum sharing constraints. These regulation restrictions allow the coexistence with other wireless services such as terrestrial mm-wave wireless local loop systems. This work focuses on the case where the satellite operator can use a certain frequency band whenever the signal power strength is limited over the coverage...
There has been increasing interest in applying gait recognition systems to real lives. Currently, the main obstacle hindering the appearance of gait recognition system is high complexity and suffering from dress and carrying variance. In this paper, it proposes a gait recognition method based on multi-link gravity center track (ML-GCT) that has low computation cost but robust to dress and carrying...
This paper investigates robust rank-two multicast beamforming for multiple groups of users in multicell systems. We consider the practical scenario when perfect channel state information is not available at the base stations. The channel uncertainty is assumed to be bounded within a spherical region. Robust beamforming is designed to guarantee that the predefined signal-to-interference-plus-noise...
Traditional sparse representation can not effectively distinguish between target and background. Aiming at these problems, a discriminative sparse representation was proposed, and a discriminative function to the traditional sparse was added for greatly reducing the influence of interference factors. While an online dictionary learning algorithm based on discrimination sparse representation and probabilistic...
To move mixed criticality research into industrial practice requires models whose run-time behaviour is acceptable to systems engineers. Certain aspects of current models, such as abandoning lower criticality tasks when certain situations arise, do not give the robustness required in application domains such as the automotive and aerospace industries. In this paper a new bailout protocol is developed...
The sidelobe canceller (SLC) is widely used for the array processing to suppress interferences located in the sidelobe of the radiation pattern. In the presence of steering vector mismatch, the performance of SLC may suffer from severe degradation due to desired components cancellation. In this paper, a modified approach is developed to improve the robustness against the direction of arrival (DOA)...
A variant of adaptive worst-case (WC) beamformer is devised in this paper, which is robust against arbitrary unknown signal steering vector (SSV) mismatches. Compared with the conventional WC beamforming approach, the proposed method is further improved in terms of robustness by reconstructing the interference-plus-noise covariance matrix (IN-CM) and adaptively adjusting the uncertainty level of the...
In this paper, a robust widely linear adaptive beamformer is proposed for noncircular signals, which is able to efficiently reconstruct the interference-plus-noise covariance matrix (IN-CM) and estimate the extended steering vector. Estimation of the covariance matrix is based on the minimum variance distortionless response (MVDR) spatial spectrum integrated over a region which excludes the direction...
A novel adaptive Orthogonal Frequency-Division Multiplexing (OFDM) system based on cloud transmission (Cloud Txn) is proposed for dynamic cognitive radio (CR) communication. Cloud transmission is a spectrally-efficient and interference-immune way for broadcasting communication. In light of the Cloud-Txn technology, a secondary link is set up in this paper for supporting fast transmitter-receiver (Tx-Rx)...
Precoding for the downlink of a multibeam satellite system has been recently shown, under ideal conditions, to be promising technique towards employing aggressive frequency reuse gainfully. However, time varying phase uncertainties imposed by the components and the channel, combined with delayed feedback perturbs the channel state information at the transmitter (CSIT). In this paper, we consider a...
We consider the design of a linear precoder for a multiple-input single-output (MISO) downlink system that seeks to mitigate the impact of the imperfections in the channel state information (CSI) that is available at the base station (BS). The goal of the design is to minimize the outage probability of signal-to-interference-and-noise ratio (SINR) targets specified by the receivers, while satisfying...
Digital multimedia technology has shown a significant progress day to day in various fields such as entertainment, computer vision, security etc. hence, the distribution and use of multimedia data is much easier and faster. In such an open environment, it is convenient to get the access to various information sources. In present time, several issues are arising such as information security, information...
In this paper, we propose a new method to solve the robust adaptive beamforming problem for the general rank signal model with positive semi-definite constraint. On applying the worst-case performance optimization approach, the considered robust adaptive beamforming problem generates a non-convex optimization problem. Here, we propose a two step closed form solution of the formulated problem, wherein...
A novel framework is introduced to integrate renewable energy sources (RES) into beamforming designs for smart grid powered coordinated multi-point (CoMP) communication systems. Practical models are put forth to account for the variable RES, time-varying energy prices, as well as stochastic wireless channels. Capitalizing on the proposed models, a robust resource allocation task is formulated for...
The performances of adaptive array algorithms are known to degrade in scenarios with moving interfering sources. Recently, several robust approaches have been proposed to overcome this problem. Below, we compare conventional and robust algorithms using shallow sea sonar data with moving co-channel interference originated from shipping noise. This data set was recorded by a towed horizontal Uniform...
The problem of robust beamformer design in the presence of moving sources is considered. A new technique based on a generalization of the constrained minimum variance beamformer is proposed. The method explicitly takes into account changes in the scenario due to the movement of the desired and interfering sources, requiring only estimation of the desired DOA. Computer simulations show that the resulting...
The performance of adaptive beamforming algorithms is known to degrade in rapidly moving jammer environments. This degradation occurs due to the jammer motion that may bring the jammers out of the sharp nulls of the adapted directional pattern. Below, we develop a unified approach allowing to make a wide class of adaptive array algorithms robust against possible jammer motion. This is achieved by...
In this paper, a method of adaptive noise suppression combining spatially robust fixed beamforming and the TRINICON blind source separation algorithm is presented. A multichannel sensor array is first processed using complementary fixed beamformers into maximum and minimum SINR channels. The channels form the inputs to a single 2×2 second-order statistics TRINICON-BSS system which adaptively compensates...
For noncircular signals, optimal widely linear (WL) minimum variance distortionless response (MVDR) beamformer has a powerful performance by exploiting the noncircularity of the received signals. Though, the noncircularity rate can be estimated by the steering vector (SV) of the signal of interest (SOI), the performance degrades as there exist errors in the SOI's SV. This paper introduces a new robust...
We consider the design of the linear precoder for a multiple-input single-output (MISO) downlink in a system that employs limited feedback using Grassmannian quantization. The goal is to minimize the outage probability of a target signal-to-interference-andnoise ratio (SINR) under a transmitted power constraint. By approximating the outage constraint by a zero-outage region, employing a semidefinite...
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