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The problem of direction-of-arrival (DOA) estimation in the presence of unknown nonuniform noise is addressed and a new approach based on low-rank matrix decomposition is developed. Unlike existing methods such as nonuniform maximum likelihood and iterative least squares subspace estimation algorithms, it is proposed in this paper to determine the noise-free covariance matrix and noise covariance...
Geostationary Doppler weather radar (GDWR), which is a novel and challenging instrument concept, can provide reflectivity profiles and Doppler dynamic information of meteorological targets over a circular disk coverage of approximately 5300km in diameter on the earth. In this paper, we estimate the mean Doppler radial velocity and Doppler spectrum width of GDWR, which have not been studied in the...
In this paper, a mixture noise model, which is a sum of symmetric Cauchy and zero-mean Gaussian random variables in time domain, is studied. The Cauchy and Gaussian distributions are characterized by the unknown median γ and variance σ2, respectively. The probability density function (PDF) and characteristic function (CF) of the mixture are also investigated which are calculated by the convolution...
In this paper, we consider an impulsive mixture noise process, which commonly comes across in applications such as multiuser radar communications, astrophysical imaging in the microwave range and kick detection in oil drilling. The mixture process is in the time domain, whose probability density function (PDF) corresponds to the convolution of the components' PDFs. In this work, we concentrate on...
Unmanned aerial vehicles (UAVs) are used in various applications such as civil and military surveillance, law enforcement, and support in natural disasters as well as in hazardous environments. Approaching and landing are necessary steps for all UAVs, indicating that radio altimeters are needed. In this paper, a radio altimeter based on an antenna array is proposed. Our solution allows some improvements...
In this paper, we consider the problem of frequency estimation of sinusoidal signals from observations corrupted with colored noise. The proposed method is based on linear prediction property of sinusoidal signals. We express Yule-Walker equations as a quadratic eigenvalue problem whose solution corresponds to the parameters of signal and noise. The performance of the proposed algorithm is evaluated...
Wireless sensor networks (WSNs) have been proposed for a multitude of location-dependent applications. To stamp the collected data and facilitate communication protocols, it is necessary to identify the location of each sensor. In this paper, we discuss the performance of a novel received signal strength indicator (RSSI) positioning scheme, which uses a generalized geometrical location algorithm to...
In this paper, we propose a range-free cooperative localization algorithm for mobile sensor networks by combining hop distance measurements and particle filtering. In the hop distance measurement step, a differential error correction scheme is devised to reduce the positioning error accumulated over multiple hops. A backoff-based broadcast mechanism is also introduced in our localization algorithm...
In this paper, we propose a novel cooperative localization algorithm which can be effectively used in mobility-assisted wireless sensor networks (WSNs). We propose an attractive movement strategy with mobile elements (MEs) to improve the network performance and address limitations of static WSNs in node localization. In our scheme, a mobile sensor node cooperates with static sensor nodes and moves...
In this paper, we propose a new localization algorithm which can be effectively used in three-dimensional (3D) wireless sensor networks. This scheme needs no additional hardware support and can be implemented in a distributed way. The proposed method can improve the location accuracy with relatively low communication traffic and computing complexity. Simulation results show that the performance of...
Recent years have witnessed the deployments of wireless sensor networks in a class of mission-critical applications such as object detection and tracking. These applications often impose stringent QoS requirements including high detection probability, low false alarm rate and bounded detection delay. Although a dense all-static network may initially meet these QoS requirements, it does not adapt to...
Wireless sensor networks (WSNs) deployed for mission-critical applications face the fundamental challenge of meeting stringent spatiotemporal performance requirements using nodes with limited sensing capacity. Although advance network planning and dense node deployment may initially achieve the required performance, they often fail to adapt to the unpredictability of physical reality. This paper explores...
Aiming at the positioning problem of wireless sensor network node location, an improved DV-hop positioning algorithm is proposed in this paper, together with its basic principle and realization issues. The proposed method can improve location accuracy without increasing hardware cost for sensor node. Simulation results show that it has good positioning accuracy and coverage. The influences of anchor...
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