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Noncoherent multi-user detection schemes in combination with subspace projection were shown to be an attractive approach in multi-user massive MIMO systems. Up to now, the subspace projection has been performed via a singular value decomposition (SVD) of the receive matrix and nulling the non-signal dimensions. In this paper, we employ an alternative approach to the subspace estimation step, namely...
This paper investigates the event-triggered consensus for linear continuous-time uncertain multi-agent systems. The parameter uncertainty is assumed to be time-varying but norm-bounded. An event-triggered consensus protocol is proposed based on the predictive method to make the multi-agent system achieve consensus without continuous communication among agents. A necessary and sufficient condition...
In this paper, a novel self-calibration algorithm is proposed for two-dimensional (2-D) direction-of-arrival (DOA) estimation based on L-shaped array (LSA) with mutual coupling. In this method, we construct a transformation matrix to eliminate the mutual coupling between subarrays, and then the DOA estimation problem of LSA is transformed into that of uniform linear arrays (ULAs). Then we only need...
In this paper we study the problem of automatically generating polynomial solvers for minimal problems. The main contribution is a new method for finding small elimination templates by making use of the syzygies (i.e. the polynomial relations) that exist between the original equations. Using these syzygies we can essentially parameterize the set of possible elimination templates. We evaluate our method...
This paper presents a modified rank-reduction (RARE) method for joint direction-of-arrival (DOA) estimation and gain-phase calibration with some partly calibrated uniform linear arrays. Through recursively building up RARE matrices, the proposed method can guarantee the estimated gain-phase coefficients being unique, so as to improve the stability of gain-phase calibration performance. Another advantage...
We present our recent work on Mean Squared Error (MSE) bounds for Thomson's multitaper spectral estimator [5]. The main result provides a description of the average of the critical number of squared Slepian functions. As a further application we obtain MSE bounds for the approximation of multi-band signals using the dictionary of modulated Slepian sequences introduced by Davenport and Wakin.
Many applications of induction machines require a model and its electrical and mechanical parameters. The parameters can be estimated during the machine's operation in closed-loop by recursive algorithms. On-line estimation algorithms can yield suitable results when parameter identifiability is guaranteed. This work analyzes the identifiability of the induction machine by the condition of sufficient...
In order to solve the coherent problem of Orthogonally Matched(OMP) Pursuit algorithm in sparse reconstruction, the feature vector corresponding to large eigenvalue of SVD is constructed by using received data, and two improved methods are proposed. Both methods reconstruct the angle through the feature vector, and can reconstruct the angle information accurately without knowing the number of the...
This paper presents a vehicle positioning method based on joint estimation of time of arrival (TOA) and direction of arrival (DOA) with Vehicle-to-Roadside (V2R) communications. By analyzing the measured channel frequency response (CFR) between vehicles and the roadside unit (RU), the enhanced two-dimensional matrix pencil (2-D MP) algorithm is implemented to design the parameter estimator, which...
The influence of errors in the signal model using the methods of estimating the spatial spectrum of the input field of the antenna array is investigated. It is shown that, in the presence of model errors, the eigenvectors of the matrix of the mutual power spectral density of the sum of the signals and noise in terms of their stability and resolving power can differ significantly from each other. The...
This paper describes a method of separation (degarbling) of individual Secondary Surveillance Radar replies from a mixture (garble) received using a multi-channel antenna system. The aim of described method is to increase the number of correctly decoded messages used for aircraft surveillance by Air-Traffic Control center. Firstly, described method is evaluated on the model data simulation and afterwards...
This paper addresses distributed consensus problem for multi-agent systems with general linear time-invariant dynamics and undirected connected communication graphs. A distributed adaptive consensus protocol is found to solve problems of existing adaptive consensus protocols related to different, generally large and possibly unbounded coupling gains. This protocol guarantees ultimate boundedness under...
The procedure for estimation of voltage profile in a radial distribution network considering decreased number of measurements is presented in the text. The proposed procedure is based on hypothesis that feeder voltage profile in case of the limited number of feeder measurements can be successfully estimated using evolutionary optimization approach. The procedure consists of two main steps. In the...
In this paper, a new distributed least-squares algorithm is proposed to solve the sensor fusion problem in using wireless sensor networks (WSN) to monitor the behaviors of large-scale multiagent systems. Under the assumption that each sensor can take the measurements of a limited number of agents but the complete multiagent systems are covered under the union of all sensors in the network, the proposed...
In this work, we evaluate performances of four super-resolution techniques for estimating complex spectra or points under various scenarios. Suitable for resolving non-coherent signals, the two adaptive techniques (Root-MUSIC and ESPRIT) use multiple snapshots to acquire data covariance matrix, which can then be divided into signal subspace and noise subspace for estimating the desired complex parameters...
This paper deals with the problem of active sensing control for nonlinear differentially flat systems. The objective is to improve the estimation accuracy of an observer by determining the inputs of the system that maximise the amount of information gathered by the outputs over a time horizon. In particular, we use the Observability Gramian (OG) to quantify the richness of the acquired information...
For the problem that traditional DOA (Direction Of Arrival) estimation algorithms often fail to deal with coherent signals, a new high accuracy DOA estimation method based on weighted noise subspace is proposed. Considering the received data matrix obtained by uniform liner array, the proposed method makes full use of the cross-covariance information of it to construct an augmented matrix and performs...
This paper deals with simple and effective residual carrier frequency offsets (CFO) estimation approaches for interleaved orthogonal frequency division multiple access (OFDMA) uplink systems. It has been shown that the propagator method (PM) has low computational load and is efficient in noise free environments. However, the PM is not robust to noise. With the forward-backward (FB) correlation matrix...
In this paper, we consider the spectrum sensing problem of detecting a primary signal of a macro cell in a cognitive radio network by employing multiple dense small cell base stations. In consideration of the number of cooperative small cells (sample dimension) is comparable to the number of sample (sample size) due to the dense deployment of small cells, sample covariance matrix is no more a good...
The paper considers the dynamics of discrete-time polytopic systems. Two types of results are presented. The first type refers to the estimation of the spectrum location for the matrix polytope that defines the behavior of a given system. The approach relies on the theory of representatives applied to a set of nonnegative matrices built from the vertices of the matrix polytope. The estimation is provided...
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