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In order to meet the demands for direction of arrival (DOA) estimation in high-altitude platforms (HAPs) communication systems, a DOA estimator using field programmable gate array and digital signal processor (FPGA + DSP) hardware architecture for a 16-element spherical array on aerial platform is presented in this paper. The 16 channel received intermediate frequency (IF) signals are acquired by...
A super-resolution approach for direction of arrival (DOA) estimation is proposed in this paper. This approach can achieve the super-resolution performance using only one snapshot. It deals with the DOA estimation problem on the continuous bearing space rather than a discretization of this space, so it can eliminate the model mismatch and off-grid effect induced by the spatial discretization and thus...
In this paper, cumulant based direction of arrival (DOA) estimation using multiple invariances is proposed which results in Multiple Invariance Cumulant ESPRIT (MICE) algorithm. In all previous formulations of cumulant based ESPRIT, only one invariance is exploited for DOA estimation. The cumulant matrix (if chosen properly) inherits the multiple invariance property if multiple displacement invariances...
High sampling rate signal acquisition is challenging for wireless platform in terms of energy supply and transmission delay. Instead of performing compression at sensor node or having in-network processing for data been sampled at Nyquist rate, Compressive Sensing (CS) is applied to enable real time wireless sensor network with strict energy and processing constraints by significantly reducing the...
Based on a newly proposed nested array, we consider the problem of direction of arrival estimation for wideband sources. This array provides O(N2) degrees of freedom with O(N) sensors, enabling us to estimate K sources with N<K sensors. To employ the nested array for wideband source estimation, we propose a novel strategy to apply nested-array processing to each frequency component, and combine...
When suing the multiple signal classification (MUSIC) direction finding algorithm based on uniform linear array, the estimation of the real arrival direction may be interfered due to the occurrence of the spurious spectral peak if the ratio of the element spacing to wavelength is more than 0.5. The available methods of eliminating spurious spectral peak are mainly suitable for active direction finding...
A closed-form solution for direction of arrival (DOA) estimation is presented for the spatially stretched tripole (SST) by adopting a quasi-vector-cross-product (QVCP) based scheme to deal with the mutual coupling problem. After deriving the sufficient condition for the proposed method, we design and study four specific types of SSTs in particular. Simulation results show that the proposed scheme...
A novel approach is proposed for DOA (Direction of Arrival) estimation for multipath (coherent) sources in non-uniform linear arrays (NLA), based on cancellation techniques. An initial DOA estimates of Coherent sources obtained by array interpolation and spatial smoothing method. Then cancellation of some signals from the observed date successively, the residuals of data received are used to estimate...
Compressive sensing (CS) is applied to enable real time direction of arrival (DoA) estimation in a wireless array sensor network by significantly reduce the amount of sensor data that needs to be transmitted over wireless channels. This is accomplished by (i) random sampling of data samples collected at sensor arrays, and (ii) transmitting only the sign-bit of the data samples over wireless channels...
This paper analyzes the application of a multi-population Gaussian-based estimation of distribution algorithm equipped with a restarting strategy and mutation, named MGcEDA, to the problem of estimating the Direction of Arrival (DOA) of time-varying plane waves impinging on a uniform linear array of sensors. This problem requires the minimization of a dynamic cost function which is non-linear, non-quadratic,...
Compressive sensing (CS) is an emerging area in which the conventional two step process of data acquisition and compression can be integrated into a single step. Compressive sensing exploits the sparsity of a signal and allows the digital signal to be reconstructed from far fewer measurements than the original size of the signal. This is possible as long as the measurements satisfy certain reasonable...
In this paper, we have broadened the scope of Direction of Arrival (DoA) estimation using compressive sampling in free space to a shallow ocean scenario, considering the complexities that arise due to the formation of modes in shallow ocean, along with the use of acoustic vector sensor array. We use compressive sampling of the array elements, followed by compressive beamforming, which helps in greatly...
This paper presents a technique of enlarging the domain of attraction (DOA) for non-polynomial systems using state feedback controllers. In order to deal with such a problem, we intend to extend our technique for the estimation of the DOA for non-polynomial systems presented in [1] to controller design, which maximizes the guaranteed DOA induced by quadratic Lyapunov functions (QLF). The state feedback...
Spectrum sensing is one of the key issues in cognitive radio. To explore all dimensions of the spectrum space, a sliding window MUSIC based spectrum sensing method is proposed to offer the spectrum holes in time-angle dimension. Simulation results show that the proposed method has better detection performance than conventional energy detection as well as high estimation accuracy.
In this paper, a technique of enlarging the domain of attraction (DOA) for polynomial systems using state feedback controllers is considered. In order to deal with such a problem, we present a technique for computing state feedback controllers, which maximize the guaranteed DOA induced by a quadratic Lyapunov function (QLF). The state feedback controller design is formulated as a minimum-maximum optimization...
In this paper we address DOA estimation for the side scan sonar in the presence of multiple interfering echoes. We illustrate the potential usage of high resolution methods and tracking algorithms. The proposed tracking algorithm is based on a apriori information on the sea-floor DOA angle. Because of the non-linearity of the model and non-Gaussian behavior of the observed 4600 data, the implementation...
A new method based on sparse signal representation is proposed in this paper to cope with the problem of wideband direction of arrival estimation for uniform linear array. by exploiting the property of signal subspace, we construct a noiseless sparse signal representation model in eigen domain, and formulate a multiple-dictionary joint optimization problem. Due to the correlation between basis vectors,...
This paper introduces a method to optimize the configuration of a 3D helmet-mounted antenna array carried by emergency rescuers expected to locate natural disaster survivors. Configuration optimization is based on metrics extracted from the 3D Fisher Information Matrix (FIM) relative to the considered array architecture for single source Direction Of Arrival (DOA) estimation. Comprehensive simulations...
In this paper, we mainly discuss projection approximation and subspace tracking of deflation(PASTd) for direction of departure (DOD) and direction of arrival (DOA) tracking multiple targets in bistatic multiple-input multiple-output (MIMO) radar. The research on DOD and DOA tracking of moving targets in bistatic MIMO radar has been reported rarely. This proposed algorithm can obtain signal subspace...
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...
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