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In this paper, we consider the robust Kalman filtering based track fusion problem in multi-sensor network. We deal with the dynamic systems when the convariance of the measurement noises suffers norm-bounded uncertainties and propose a minimax robust track fusion method by minimizing the worst-case fusion error variance for all feasible noises covariance matrix. The numerical simulations demonstrate...
Recent research has demonstrated significant achievable performance gains by exploiting circularity/non-circularity or properness/improperness of complex-valued signals. In this paper, we investigate the influence of theses properties on important information theoretic quantities such as entropy and capacity. More specifically, we prove a novel maximum entropy theorem that is based on the so-called...
The starting point of any derivation is a suitable representation of the given model. Hypercomplex numbers sometimes provide a more compact representation and more insight into a problem's structure than the reals or the complex numbers. Hence, efficient filters are needed for hypercomplex numbers as well. As there is a large zoo of different hypercomplex numbers obeying different algebras it is cumbersome...
Segmenting complex movements into a sequence of primitives remains a difficult problem with many applications in the robotics and vision communities. In this work, we show how the movement segmentation problem can be reduced to a sequential movement recognition problem. To this end, we reformulate the original Dynamic Movement Primitive (DMP) formulation as a linear dynamical system with control inputs...
In this paper, the DS-UWB channel estimation and multiuser detection problem are investigated. The information symbol and channel parameter are considered as unknown variable. The multiuser detector and UWB channel estimator are designed jointly. For symbol detection, the one-step predictor of channel parameter is used and the estimation error is treated as a multiplicative noise, then a Riccati equation...
In this paper, we describe a modified recursive least squares (RLS) algorithm for the online identification of switched linear systems (SLSs). For this problem, a real time mode detection (MD) method is usually employed to detect the running mode for each output data and this part is very important for the estimation results. In fact, it is rather difficult to design a perfect MD method that can identify...
The presence of the primary signal changes not only the signal energy but also the correlation structure, a new spectrum sensing algorithm based on the determinant of the sample covariance matrix is then introduced. The new algorithm utilizes the fact that the determinant of the sample covariance matrixes of received signals is different from that of noise samples with high probability to detect whether...
This paper studies the stochastic optimal control problem with additive and multiplicative noise via reinforcement learning (RL) and approximate/adaptive dynamic programming (ADP). Using Itô calculus, a policy iteration algorithm is derived in the presence of both additive and multiplicative noise. It is shown that the expectation of the approximated cost matrix is guaranteed to converge to the solution...
In this paper, a novel two-stage coexistence detection scheme for 60-GHz millimeter-wave (mmW) WLAN/WPAN is proposed. Specifically, orthogonal frequency division multiplexing (OFDM) is employed as the transmission mode. The energy detector (ED) is used at the first stage to perform coarse scan. If required, the arithmetic mean to geometric mean detector (AGD) is invoked at the second stage to refine...
The interference rejection combining (IRC) receiver is effective in improving the cell-edge user throughput because it suppresses inter-cell interference. The IRC receiver is typically based on the minimum mean square error (MMSE) criteria, which requires channel estimation and covariance matrix estimation including the inter-cell interference with high accuracy. The paper investigates the gain from...
We consider the problem of detecting a primary user in a cognitive radio network by employing multiple antennas at the cognitive receiver. In vehicular applications, cognitive radios typically transit regions with differing densities of primary users. Therefore, speed of detection is key, so detection based on a small number of samples is particularly advantageous for vehicular applications. Without...
A novel method is introduced in this paper that detects the number of signal sources utilizing the uniformity of MUSUC spectrum. MUSIC scanning spectrum has different uniformity with different noise subspace. The standard deviation is utilized to describe the uniformity of MUSIC scanning spectrum. According to the turn point of the standard deviation curve, the source number is detected and the locations...
The SVD algorithm is an efficient method for the coherent DOA estimation, but it just fits only for the uniform linear array. A method of the coherent DOA estimation based on UCA is proposed in this paper. Through combining model-switching with SVD algorithm, it can improve the performance of decorrelation for uniform circular array. The computer simulations showed that this method has a good performance...
A layered wireless network is considered, where information is transmitted in a multi-hop MIMO-like fashion from the source node layer through several intermediate layers of nodes before reaching the sink node layer. Analog network coding is investigated as the network transmission strategy, exploiting the inherent superposition features of the wireless channel. A general myopic transmission protocol...
This paper considers transceiver design problem for downlink multiuser multiple-input multiple-output (MIMO) systems. We examine minimization of sum mean-square-error (MSE) constrained with each base station (BS) antenna power problem. The problem is examined for the practically relevant scenario where the noise vector of each mobile station (MS) is a zero-mean circularly symmetric complex Gaussian...
Cooperative communication is considered as a major enabling technique to meet the demanding performance requirements of future underwater acoustic (UWA) communication systems. In this paper, we investigate the information theoretic performance of a cooperative UWA system to provide insight into the fundamental performance limits imposed by underwater acoustic channels. We first propose an approximate...
In this paper, we propose a novel algorithm for image restoration based on combining nonstationary edge-preserving priors. We develop a Bayesian modeling followed by an evidence analysis inference approach for deriving the foundations of the proposed iterative restoration algorithm. Simulation results over a variety of blurred and noisy standard test images indicate that the presented method outperforms...
In order to improve the performance of track-to-track association (T2TA) in a distributed multisensor information fusion system, this paper studies the effects of the crosscorrelation on T2TA, including the crosscorrelation between tracks for the same target and the crosscorrelation across time of the state estimates, while the latter is often neglected in practice. Considering the crosscorrelation,...
The least mean squares (LMS) algorithm is widely applied in the machine learning community. Corrected subspace information criterion (CSIC) is one of the model selection methods, which is defined on an unbiased estimator of the generalization error-subspace information criterion(SIC). In this paper, we will apply CSIC to select of LMS learning models, it can obtain better results than SIC.
Most pulse oximeters determine blood oxygen saturation (SpO2) after calculating a coefficient, R, that represents the normalized ratiometric contributions of the pulsatile red and near-infrared photoplethysmograms (PPGs) acquired by the sensor. This paper presents a new approach that uses principle component analysis (PCA) to separate the signal and noise components of unfiltered PPGs and provide...
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