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In this paper we analyze the performance of a full-duplex relay system in the presence of residual self-interference (SI) and frequency-selective fading. In particular, the residual SI channel estimation performance is evaluated both analytically and via simulation. The bit error rate (BER) performance at the destination is also characterized via simulation. Two schemes are considered for the equalization...
The Phasor Measurement Units (PMUs) are currently considered among the most useful instruments for smart grid monitoring. While the traditional PMUs deployed at the transmission level are usually high-performance and expensive instruments, the interest in smaller and cheaper units able to perform synchronized measurements of voltage and current waveforms at the distribution level is currently growing...
Key Frame Extraction (KFE) is an important block involved with any search process on large scale video logs. KFE has wide applications in fields like Content based retrieval systems, Video Summarization, compression and Video content management. The conventional algorithms exploit the pixel similarities or histogram distributions between frames of video, ignoring the key frame metric information in...
Schizophrenia (SZ) is a neurological disorder, which affects linguistic, memory, consciousness and executive functions of the brain. Magnetic resonance imaging (MRI) is used to capture structural abnormalities in human brain regions. In this work, segmentation of ventricle region from Schizophrenic MR brain images was carried out using optimized energy minimization framework. The images considered...
The purpose of this paper is to derive new asymptotic properties of the robust adaptive normalized matched filter (ANMF). More precisely, the ANMF built with Tyler estimator (TyE-ANMF) is analyzed under the framework of complex elliptically symmetric (CES) distributions. We show that the distribution of TyE-ANMF can be accurately approximated by the well-known distribution of the ANMF built with the...
An orthogonal frequency division multiplexing (OFDM) multiple input multiple output (MIMO) radar at 24GHz is presented in this paper. Waveforms with bandwidth of 625MHz are generated digitally with an arbitrary waveform generator. A six channel RF front-end is used to construct a MIMO system with 2 transmit (Tx) and 4 receive (Rx) antennas. The received signal is sampled with a four-channel oscilloscope...
A signal processing method to eliminate grating lobes in case of array antenna is proposed in this paper. The proposed method of eliminating the grating lobes can be used in the cases where each antenna element information/data is available. By using the proposed method, relation between λ and baseline separation between the two antenna elements need not be less than or equal to λ/2. The proposed...
The identification of slowly-varying noise parameters in non-linear state-space models constitutes a long-standing problem. The present paper addresses this task using the Bayesian framework and sequential Monte Carlo (SMC) methodology. The proposed approach utilizes an algebraic structure of the model so that the Rao-Blackwellization of the parameters can be performed, thus involving a finite-dimensional...
This paper presents an iterative Variational Bayes (VB) algorithm that allows sparse recovery of the desired transmitted vector. The VB algorithm is derived based on the latent variables introduced in the Bayesian model in hand. The proposed algorithm is applied to the Angle-of-Arrival (AoA) estimation problem and simulations demonstrate the potential of the proposed VB algorithm when compared to...
Introducing random interruptions in the cooperation of the sensing nodes with the fusion center is a new approach to increase the efficiency of the centralized cooperative spectrum sensing in cognitive radio (CR) networks. In this paper, we extend this approach to the multiband cooperative spectrum sensing. Specifically, first, we formally show how to incorporate the random interruptions in a multiband...
Many important problems in signal processing and control engineering concern the reconstitution of a noisy biased signal. For this issue, in this paper, we consider the signal written as an orthogonal polynomial series expansion and we provide an algebraic estimation of its coefficients. We specialize in Hermite polynomials. On the other hand, the dynamical system described by the noisy biased signal...
The paper describes Reduced Fast Fourier Transformation (RFFT), an algorithm of harmonic estimation based on the FFT, created by authors, convenient for voltage dips detection. The algorithm is simple, fast, computationally inexpensive and sufficiently accurate. It is tested in Matlab / SimPowerSystems environment. Results show that the algorithm is faster and better than the FFT, which is advantage...
Position information is important for conducting battlefield missions. GPS generally enables allies to identify positions. RELNAV defined in Link-16 is used for JU in the air to estimate its position as an auxiliary navigation system of GPS. However, there is a critical problem in RELNAV. To operate accurately, RELNAV requires the presence of ground reference units that help to estimate the positions...
In this paper, we deal with covariance matrix estimation in complex elliptically symmetric (CES) distributions. We focus on Tyler's estimator (TyE) and the well-known sample covariance matrix (SCM). TyE is widely used in practice, but its statistical behavior is still poorly understood. On the other hand, under Gaussian assumption, the SCM is Wishart-distributed, but its properties degrade in non-Gaussian...
Received Signal Strength (RSS) localization has the attraction of requiring only simple receiver hardware. The basic idea is to find the position estimate that is most consistent with the received signal power measurements observed at multiple known locations in the area of interest. A fundamental assumption is that the signal power measurement is proportional to the product of the reference emitter...
Pseudolite-based systems and airborne relay-based positioning system (ARPS) have a limitation wherein the position error increases as the distance between the user and the area where the segments of the system are configured increases, owing to the low altitude of the navigation signal transmitters. To enhance the accuracy of the user, we propose a self-correction scheme based on the ARPS. In the...
Fractal dimension is a very useful technique to estimate surface roughness of digital images; for this estimation many approaches have been implemented. Among them differential box counting mechanism are most popular and commonly used technique for computation of FD of gray scale images. This article presents an improved version of differential box counting method for improvement of accuracy in terms...
This work investigates sensor signal processing approaches that can be used with a sensor system for direct on-site monitoring of groundwater, enabling detection and quantification of BTEX (benzene, toluene, ethylbenzene and xylene) compounds at μg/L (ppb) concentrations in the presence of interferents commonly found in groundwater. A model for the sensor response to water samples containing multiple...
In this paper we develop an algorithm for turbulence intensity estimation based on the spectral polarimetrie approach to the remote sensing of rain. The algorithm is compared with traditional Doppler spectrum width estimation; advantages and disadvantages of the two are analyzed, and recommendations for further research and practical applications are made.
this paper presents an objective evaluation of state-of-the-art single channel noise reduction algorithms. The evaluation is performed on a representative real data set of underwater acoustic records. Rationales used to process the proposed evaluation are mean squared error, global signal-to-noise ratio (SNR), segmental SNR and mean squared spectral error. Moreover, this first quantitative evaluation...
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